5G power private network communication evaluation method and system

Abstract

The invention is suitable for the technical field of communication evaluation, and particularly relates to a 5G power private network communication evaluation method and system, and the method comprises the steps: positioning to-be-tested equipment in a 5G power private network, selecting test data, segmenting the test data into the to-be-tested equipment, obtaining a plurality of segments, marking a target terminal in the 5G power private network, and carrying out the segmentation of the target terminal in the 5G power private network. Sending the fragment to a target terminal, and calculating transmission delay; creating nodes in one-to-one correspondence with the to-be-tested equipment, configuring the maximum delay time of the nodes, and judging whether the transmission delay exceeds the maximum delay time or not. By configuring the maximum delay time, potential overload nodes can be found in time, the performance bottleneck of private network communication can be evaluated, data support is provided for resource allocation and load balancing, the evaluation result can be visually displayed by generating the unique identifier, bandwidth occupation and storage cost are reduced, and the method is suitable for popularization and application. And data processing, analysis and decision making of subsequent private network communication are facilitated.

Description

Technical Field

[0001] The present invention relates to the field of communication evaluation technology, and in particular to a 5G power private network communication evaluation method and system. Background Art

[0002] 5G private network communication refers to a private communication network built based on 5G technology and customized for specific industries or applications. 5G private network communication is usually used in industries with high complexity or high security requirements, such as electricity, manufacturing, transportation, mining, etc.

[0003] When conducting 5G private network communications in the power industry, it is necessary to monitor the load conditions of the equipment in real time. Any high latency or data loss may cause power system failures or even large-scale power outages. However, due to the large scale of the power system and the high communication density, a large amount of temporary data will be generated during the load assessment process, further exacerbating the load on the communication network. Therefore, "how to use trace data for load assessment" is the technical problem that the present invention needs to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a 5G power private network communication evaluation method and system to solve the problem of "how to use trace data to perform load evaluation" raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A 5G power private network communication evaluation method, the method comprising:

[0007] Locate the device under test in the 5G power private network, select test data, and divide the test data into several segments of the device under test, mark the target terminal in the 5G power private network, send the segments to the target terminal, and calculate the transmission delay;

[0008] Create a node corresponding to the device under test, configure the maximum delay time of the node, and determine whether the transmission delay exceeds the maximum delay time. If yes, mark the corresponding node with "1", otherwise, mark it with "0";

[0009] Integrate the judgment results of all devices under test, generate a unique identifier, adjust the frequency of the test data, update the unique identifier, and according to the update process, traverse the change items and configure the corresponding relationship between the change items, frequency and unique identifier;

[0010] The change items are sorted in descending order of frequency, the corresponding relationships are integrated, and the load test results are generated.

[0011] Furthermore, the step of “locating the device under test in the 5G power private network, selecting test data, and dividing the test data into the device under test to obtain a plurality of segments” includes:

[0012] Traversing the properties of the device under test, and building a filtering mechanism based on the properties;

[0013] The filtering mechanism is embedded into the corresponding node to filter the fragments.

[0014] Furthermore, the step of “marking a target terminal in the 5G power private network, sending the fragment to the target terminal, and calculating the transmission delay” includes:

[0015] Integrating the data received by the target terminal to obtain a fusion result;

[0016] Based on the filtering mechanism, it is determined whether the fusion result is the same as the test data. If not, the abnormal device is traced back and integrated into the load test result.

[0017] Furthermore, the step of "creating nodes corresponding to the devices under test one by one and configuring the maximum delay time of the nodes" includes:

[0018] Based on the attributes, clustering the devices under test into a plurality of importance levels, the importance levels at least including: high, medium and low;

[0019] A response strategy for each of the importance levels is configured.

[0020] Furthermore, the step of "integrating the judgment results of all devices under test, generating a unique identifier, adjusting the frequency of the test data, updating the unique identifier, and traversing the change items from the node according to the update process" includes:

[0021] Numbering the devices under test, establishing a mapping between the numbers and the judgment results, and using the mapping to generate a unique identifier and add a timestamp;

[0022] Writing the unique identifier into a preset cache table, and updating the cache table after the test data is adjusted;

[0023] The unique identifiers of the two latest items in the cache table are compared to determine the difference field, spanning the mapping and numbering, and defining the node corresponding to the difference field as a variable item.

[0024] Furthermore, the step of “configuring a correspondence between a variable item, a frequency, and a unique identifier” includes:

[0025] Based on the timestamp, generate a snapshot of each frequency, and insert a tag generated by the snapshot into the load test result;

[0026] The snapshot is divided into several sub-blocks, high-performance devices in each sub-block are found, and an emergency relay architecture centered on the high-performance devices is established.

[0027] Furthermore, the method further comprises:

[0028] Calculating the difference between the maximum delay time and the transmission delay, and dividing the difference into a plurality of ranges;

[0029] An identifier corresponding to each range is determined, and the unique identifier is adjusted.

[0030] Furthermore, the system comprises:

[0031] A calculation module is used to locate the device under test in the 5G power private network, select test data, and divide the test data into the device under test to obtain a number of segments, mark the target terminal in the 5G power private network, send the segments to the target terminal, and calculate the transmission delay;

[0032] A judgment module is used to create a node corresponding to the device under test, configure the maximum delay time of the node, and judge whether the transmission delay exceeds the maximum delay time. If yes, mark the corresponding node with "1", otherwise, mark it with "0";

[0033] The traversal module is used to integrate the judgment results of all devices under test, generate a unique identifier, adjust the frequency of the test data, update the unique identifier, and traverse the change items according to the update process, configure the correspondence between the change items, frequency and unique identifier, sort the change items in order from high to low frequency, integrate the correspondence, and generate the load test results.

[0034] Furthermore, the calculation module includes:

[0035] A construction unit, used for traversing the properties of the device under test and constructing a filtering mechanism based on the properties;

[0036] A filtering unit, used for embedding the filtering mechanism into the corresponding node to filter the fragment;

[0037] An obtaining unit, used for integrating the data received by the target terminal to obtain a fusion result;

[0038] The integration unit is used to determine whether the fusion result is the same as the test data according to the filtering mechanism, and if not, trace back the abnormal device and integrate the abnormal device into the load test result.

[0039] Furthermore, the judging module includes:

[0040] A clustering unit, configured to cluster the devices under test into a plurality of importance levels according to the attributes, wherein the importance levels include at least: high, medium and low;

[0041] A configuration unit is used to configure a response strategy for each of the importance levels.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] By splitting the test data, multiple devices under test can be tested in parallel, greatly improving the test accuracy and efficiency. By calculating the transmission delay, the performance of private network communications can be evaluated. By configuring the maximum delay time, potential overloaded nodes can be discovered in a timely manner, which helps to evaluate the performance bottleneck of private network communications, thereby providing data support for resource allocation and load balancing. By generating a unique identifier, the evaluation results can be displayed intuitively, reducing bandwidth occupancy and storage costs, and facilitating subsequent data processing and analysis decisions for private network communications. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0045] Figure 1 A flowchart of a 5G power private network communication evaluation method provided in an embodiment of the present invention.

[0046] Figure 2 This is a block diagram of the first sub-process of the 5G power private network communication evaluation method provided in an embodiment of the present invention.

[0047] Figure 3 This is a block diagram of the second sub-process of the 5G power private network communication evaluation method provided in an embodiment of the present invention.

[0048] Figure 4 This is a block diagram of the third sub-process of the 5G power private network communication evaluation method provided in an embodiment of the present invention.

[0049] Figure 5 A block diagram of the composition of the 5G power private network communication evaluation system provided in an embodiment of the present invention.

[0050] Figure 6 A block diagram of the composition of the computing module in the 5G power private network communication evaluation system provided in an embodiment of the present invention.

[0051] Figure 7This is a block diagram of the composition of the judgment module in the 5G power private network communication evaluation system provided in an embodiment of the present invention.

[0052] Figure 8 A block diagram of the composition of the traversal module in the 5G power private network communication evaluation system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] In Example 1, Figure 1 The implementation process of the 5G power private network communication evaluation method provided by the embodiment of the present invention is shown, and is described in detail below:

[0055] S100: Locate the device under test in the 5G power private network, select test data, and divide the test data into the device under test to obtain several fragments, mark the target terminal in the 5G power private network, send the fragments to the target terminal, and calculate the transmission delay.

[0056] Before testing the communication load of the 5G power private network, it is necessary to determine the equipment to be tested in the 5G private network, where the equipment to be tested can be a production terminal inside the substation, a distribution device, or a smart meter, etc.; collect test data from existing data, where the test data includes power load, equipment health status, and communication quality, etc.; divide the test data according to the type of equipment to be tested to obtain fragments corresponding to the equipment to be tested; mark the target terminal in the 5G power private network, which is mainly used for load testing, and can be a production terminal or a distribution device, etc.; use the equipment to be tested to send the fragment to the target terminal, calculate the time required, and determine this time as the transmission delay, where the transmission delay can also include network transmission time and processing time, etc.

[0057] S200: Create a node corresponding to the device under test, configure the maximum delay time of the node, and determine whether the transmission delay exceeds the maximum delay time. If yes, mark the corresponding node with "1", otherwise, mark it with "0".

[0058] A node is created for each device under test, where the node is used to characterize the location and status of the device under test in the communication network. The node also stores the properties of the corresponding device under test. The maximum delay time is determined according to the device properties or hardware, etc. The maximum delay time is used to characterize the maximum transmission delay allowed by the corresponding device under test.

[0059] If the transmission delay of a node exceeds the maximum delay time, the node is marked as "1", indicating that there is a problem with the transmission delay of the corresponding device under test, which may affect the normal operation of the device under test or the network performance; if the delay is within the allowable range, the node is marked as "0", indicating that the delay of the device is normal; through the above method, nodes with high delay can be identified in time, and data support can be provided for fault diagnosis and optimization of 5G power private networks.

[0060] S300: Integrate the judgment results of all devices under test, generate a unique identifier, adjust the frequency of the test data, update the unique identifier, and traverse the change items according to the update process, configure the correspondence between the change items, frequency and unique identifier, sort the change items in order from high to low frequency, integrate the correspondence, and generate the load test results.

[0061] The transmission delay of all nodes is compared with the maximum delay time in turn, and all comparison results are integrated to generate a unique identifier. Then, the frequency of sending test data is gradually increased, and the load test is performed on the device to be tested multiple times. After each test, the unique identifier is updated. The two adjacent unique identifiers are compared to determine the changed field, and the node corresponding to this field is determined as the changed item. According to the corresponding relationship, the changed items are sorted in order of frequency from high to low to obtain the load test results, where the load test results can intuitively display the potential network bottlenecks or equipment problems in the 5G private network, thereby providing a basis for subsequent network optimization and fault repair.

[0062] In Example 2, Figure 2 The implementation process of the 5G power private network communication evaluation method provided by an embodiment of the present invention is shown. The steps of "locating the device to be tested in the 5G power private network, selecting test data, and dividing the test data into the device to be tested to obtain a plurality of fragments" are described in detail as follows:

[0063] S101: Traverse the properties of the device under test, and build a filtering mechanism based on the properties.

[0064] The attributes of each device under test are determined, wherein the attributes are used to characterize the type of the device under test, and a filtering mechanism is constructed according to the type of the device under test.

[0065] S102: embed the filtering mechanism into the corresponding node to filter the fragment.

[0066] Determine the data format of each type of device under test; the filtering mechanism is to delete the fragments that do not conform to the node attributes by matching the data format of the fragments, leaving only the fragments that conform to the data format; after completing the filtering, send the fragments to the target terminal through the device under test.

[0067] In Example 3, Figure 2 The implementation process of the 5G power private network communication evaluation method provided by an embodiment of the present invention is shown. The steps of "marking the target terminal in the 5G power private network, sending the fragment to the target terminal, and calculating the transmission delay" are described in detail as follows:

[0068] S103: Integrate the data received by the target terminal to obtain a fusion result.

[0069] In the target terminal, the received data is integrated, and the integrated result is defined as a fusion result.

[0070] S104: Based on the filtering mechanism, determine whether the fusion result is the same as the test data; if not, trace back the abnormal device and integrate the abnormal device into the load test result.

[0071] Determine whether the fusion result is the same as the filtered test data. If they are not the same, it means that the test data is lost during the data transmission process. At this time, the corresponding device to be detected is determined as an abnormal device, and the abnormal device is recorded through the load test result.

[0072] In Example 4, Figure 3 The implementation process of the 5G power private network communication evaluation method provided by an embodiment of the present invention is shown. The steps of "creating a node corresponding to the device to be tested one by one and configuring the maximum delay time of the node" are described in detail as follows:

[0073] S201: Clustering the devices to be tested into a plurality of importance levels based on the attributes, where the importance levels include at least: high, medium and low.

[0074] Different importance levels are determined according to the properties of the device under test. The higher the importance level, the greater the impact of the device under test on the power supply.

[0075] S202: configuring a response strategy for each of the importance levels.

[0076] If the importance level of a device under test is medium or low, the corresponding node is marked with "1" or "0" based on the comparison result of its transmission delay and the maximum delay time. If the importance level is high and the transmission delay is greater than the maximum delay time, an alarm message is directly generated and sent to the preset terminal through the 5G power private network. The preset terminal here can be a DCS management terminal or a maintenance personnel terminal.

[0077] In Example 5, Figure 4The implementation process of the 5G power private network communication evaluation method provided by an embodiment of the present invention is shown. The steps of "integrating the judgment results of all devices under test, generating a unique identifier, adjusting the frequency of the test data, updating the unique identifier, and traversing the change items from the node according to the update process" are described in detail as follows:

[0078] S301: numbering the devices to be tested, establishing a mapping between the numbers and the judgment results, and using the mapping to generate a unique identifier and add a timestamp.

[0079] According to the preset numbering rules, the devices to be tested are numbered, the judgment result of each device to be tested is determined, all the judgment results are integrated in the order of numbers, a unique identifier is generated, and a timestamp generated at the current moment is inserted into the unique identifier.

[0080] S302: writing the unique identifier into a preset cache table, and updating the cache table after the test data is adjusted.

[0081] Build a cache table that can meet the storage requirements of unique identifiers. When a new unique identifier is obtained, write the new unique identifier into the cache table and update the cache table. The cache table can show the current load status of the 5G private network.

[0082] S303: Compare the unique identifiers of the latest two items in the cache table, determine the difference field, cross the mapping and numbering, and define the node corresponding to the difference field as a variable item.

[0083] Compare the two unique identifiers written to the cache table at last, identify the different fields, and mark them as distinguishing fields; locate the nodes corresponding to the distinguishing fields by using mapping and numbering, and define them as distinguishing items; here, span means to pass through and use.

[0084] In Example 6, Figure 4 The implementation process of the 5G power private network communication evaluation method provided by an embodiment of the present invention is shown. The steps of "configuring the corresponding relationship between the change item, frequency and unique identifier" are described in detail as follows:

[0085] S304: Generate a snapshot of each frequency based on the timestamp, and insert a tag generated by the snapshot into the load test result.

[0086] When the frequency changes, the judgment result of each node to be tested is extracted and a snapshot is generated, where each frequency corresponds to a snapshot. The snapshot is used to generate a label and the label is inserted into the load test result.

[0087] S305: Divide the snapshot into several sub-blocks, find out the high-performance devices in each sub-block, and establish an emergency relay architecture centered on the high-performance devices.

[0088] The snapshots are divided by region, and each sub-block corresponds to a power production area. The test node with the highest frequency ranking in the power production area is found, and this test device is determined as a high-performance device. If the load of a node in the power production area exceeds the preset threshold, or the transmission delay exceeds the maximum delay time, the high-performance device is used to perform emergency relay of the data to achieve load balancing. The emergency relay architecture should also include a format conversion layer and a decision-making layer.

[0089] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0090] Calculating the difference between the maximum delay time and the transmission delay, and dividing the difference into a plurality of ranges;

[0091] An identifier corresponding to each range is determined, and the unique identifier is adjusted.

[0092] According to the difference, the device under test is divided into different ranges, each of which corresponds to an identifier, which can be "3" or others. This identifier is used to update the unique identifier. In short, the unique identifier includes other identifiers in addition to "1" and "2".

[0093] Figure 5 The structure diagram of the 5G power private network communication evaluation system provided by an embodiment of the present invention is shown. The 5G power private network communication evaluation system 1 includes:

[0094] The calculation module 11 is used to locate the device under test in the 5G power private network, select test data, and divide the test data into the device under test to obtain a plurality of segments, mark the target terminal in the 5G power private network, send the segments to the target terminal, and calculate the transmission delay;

[0095] The judgment module 12 is used to create a node corresponding to the device under test, configure the maximum delay time of the node, and judge whether the transmission delay exceeds the maximum delay time. If yes, mark the corresponding node with "1", otherwise, mark it with "0";

[0096] The traversal module 13 is used to integrate the judgment results of all devices under test, generate a unique identifier, adjust the frequency of the test data, update the unique identifier, and traverse the change items according to the update process, configure the correspondence between the change items, frequency and unique identifier, sort the change items in order from high to low frequency, integrate the correspondence, and generate the load test results.

[0097] Figure 6 The structure block diagram of the 5G power private network communication evaluation system provided by an embodiment of the present invention is shown, and the calculation module 11 includes:

[0098] A construction unit 111 is used to traverse the properties of the device under test and construct a filtering mechanism based on the properties;

[0099] A filtering unit 112, configured to embed the filtering mechanism into a corresponding node and filter the fragment;

[0100] An obtaining unit 113 is used to integrate the data received by the target terminal to obtain a fusion result;

[0101] The integration unit 114 is used to determine whether the fusion result is the same as the test data according to the filtering mechanism, and if not, trace back the abnormal device and integrate the abnormal device into the load test result.

[0102] Figure 7 The structure diagram of the 5G power private network communication evaluation system provided by an embodiment of the present invention is shown, and the judgment module 12 includes:

[0103] A clustering unit 121, configured to cluster the devices under test into a plurality of importance levels according to the attributes, wherein the importance levels include at least: high, medium and low;

[0104] The configuration unit 122 is used to configure a response strategy for each importance level.

[0105] Figure 8 The structure diagram of the 5G power private network communication evaluation system provided by an embodiment of the present invention is shown, and the traversal module 13 includes:

[0106] An adding unit 131 is used to number the device under test, establish a mapping between the number and the judgment result, and use the mapping to generate a unique identifier and add a timestamp;

[0107] An updating unit 132, configured to synchronize the unique identifier to a preset cache table, and update the cache table after the test data is adjusted;

[0108] A definition unit 133 is used to compare the unique identifiers of the latest two items in the cache table, determine the difference field, span the mapping and numbering, and define the node corresponding to the difference field as a change item;

[0109] A generating unit 134, configured to generate a snapshot of each frequency according to the timestamp, and insert a tag generated by the snapshot into the load test result;

[0110] The establishing unit 135 is used to divide the snapshot into a plurality of sub-blocks, find out the high-performance device in each sub-block, and establish an emergency relay architecture centered on the high-performance device.

[0111] The calculation module 11 is mainly used to complete step S100, the judgment module 12 is mainly used to complete step S200, and the traversal module 13 is mainly used to complete step S300;

[0112] The construction unit 111 is mainly used to complete step S101, the filtering unit 112 is mainly used to complete step S102, the obtaining unit 113 is mainly used to complete step S103, and the integration unit 114 is mainly used to complete step S104;

[0113] The clustering unit 121 is mainly used to complete step S201, and the configuration unit 122 is mainly used to complete step S202;

[0114] The adding unit 131 is mainly used to complete step S301, the updating unit 132 is mainly used to complete step S302, the defining unit 133 is mainly used to complete step S303, the generating unit 134 is mainly used to complete step S304, and the establishing unit 135 is mainly used to complete step S305.

[0115] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A 5G power private network communication evaluation method, characterized in that: The method comprises: Locate the device under test in the 5G power private network, select test data, and divide the test data into several segments of the device under test, mark the target terminal in the 5G power private network, send the segments to the target terminal, and calculate the transmission delay; Create a node corresponding to the device under test, configure the maximum delay time of the node, and determine whether the transmission delay exceeds the maximum delay time. If yes, mark the corresponding node with "1", otherwise, mark it with "0"; Integrate the judgment results of all devices under test, generate a unique identifier, adjust the frequency of the test data, update the unique identifier, and according to the update process, traverse the change items and configure the corresponding relationship between the change items, frequency and unique identifier; The change items are sorted in descending order of frequency, the corresponding relationships are integrated, and the load test results are generated.

2. The 5G power private network communication evaluation method according to claim 1 is characterized in that: The step of "locating the device under test in the 5G power private network, selecting test data, and dividing the test data into the device under test to obtain a plurality of segments" includes: Traversing the properties of the device under test, and building a filtering mechanism based on the properties; The filtering mechanism is embedded into the corresponding node to filter the fragments.

3. The 5G power private network communication evaluation method according to claim 2 is characterized in that: The step of "marking a target terminal in the 5G power private network, sending the segment to the target terminal, and calculating the transmission delay" includes: Integrating the data received by the target terminal to obtain a fusion result; Based on the filtering mechanism, it is determined whether the fusion result is the same as the test data. If not, the abnormal device is traced back and integrated into the load test result.

4. The 5G power private network communication evaluation method according to claim 2 is characterized in that: The step of "creating nodes corresponding to the devices under test one by one and configuring the maximum delay time of the nodes" includes: Based on the attributes, clustering the devices under test into a plurality of importance levels, the importance levels at least including: high, medium and low; A response strategy for each of the importance levels is configured.

5. The 5G power private network communication evaluation method according to claim 1 is characterized in that: The step of "integrating the judgment results of all devices under test, generating a unique identifier, adjusting the frequency of the test data, updating the unique identifier, and traversing the change items from the node according to the update process" includes: Numbering the devices under test, establishing a mapping between the numbers and the judgment results, and using the mapping to generate a unique identifier and add a timestamp; Writing the unique identifier into a preset cache table, and updating the cache table after the test data is adjusted; The unique identifiers of the two latest items in the cache table are compared to determine the difference field, spanning the mapping and numbering, and defining the node corresponding to the difference field as a variable item.

6. The 5G power private network communication evaluation method according to claim 5 is characterized in that: The step of "configuring a correspondence between a variable item, a frequency and a unique identifier" includes: Based on the timestamp, generate a snapshot of each frequency, and insert a tag generated by the snapshot into the load test result; The snapshot is divided into several sub-blocks, high-performance devices in each sub-block are found, and an emergency relay architecture centered on the high-performance devices is established.

7. The 5G power private network communication evaluation method according to claim 1 is characterized in that: The method further comprises: Calculating the difference between the maximum delay time and the transmission delay, and dividing the difference into a plurality of ranges; An identifier corresponding to each range is determined, and the unique identifier is adjusted.

8. A 5G power private network communication evaluation system, characterized in that: The system comprises: A calculation module is used to locate the device under test in the 5G power private network, select test data, and divide the test data into the device under test to obtain a number of segments, mark the target terminal in the 5G power private network, send the segments to the target terminal, and calculate the transmission delay; A judgment module is used to create a node corresponding to the device under test, configure the maximum delay time of the node, and judge whether the transmission delay exceeds the maximum delay time. If yes, mark the corresponding node with "1", otherwise, mark it with "0"; The traversal module is used to integrate the judgment results of all devices under test, generate a unique identifier, adjust the frequency of the test data, update the unique identifier, and traverse the change items according to the update process, configure the correspondence between the change items, frequency and unique identifier, sort the change items in order from high to low frequency, integrate the correspondence, and generate the load test results.

9. The 5G power private network communication evaluation system according to claim 8, characterized in that: The calculation module comprises: A construction unit, used for traversing the properties of the device under test and constructing a filtering mechanism based on the properties; A filtering unit, used for embedding the filtering mechanism into the corresponding node to filter the fragment; An obtaining unit, used for integrating the data received by the target terminal to obtain a fusion result; The integration unit is used to determine whether the fusion result is the same as the test data according to the filtering mechanism, and if not, trace back the abnormal device and integrate the abnormal device into the load test result.

10. The 5G power private network communication evaluation system according to claim 9, characterized in that: The judging module comprises: A clustering unit, configured to cluster the devices under test into a plurality of importance levels according to the attributes, wherein the importance levels include at least: high, medium and low; A configuration unit is used to configure a response strategy for each of the importance levels.

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