System and method for detecting anti-interference performance of smart energy unit

Abstract

The invention relates to the technical field of smart energy units, and more specifically provides a smart energy unit anti-interference performance detection system and method, and the system achieves the rapid deployment and flexible adjustment of a test environment through the construction of a cloud high-precision virtual test environment, remarkably reduces the test cost, remarkably shortens the test period, and improves the test efficiency. The multi-dimensional interference simulation module can comprehensively simulate various interference scenes possibly encountered in actual operation, including electromagnetic interference, power supply fluctuation, data transmission errors, natural disasters and the like, the accuracy and reliability of test results are ensured, and meanwhile, the introduction of the automatic test execution module and the real-time monitoring function further improves the test efficiency and reduces the test cost. Therefore, the user can master the key performance index change in the test process in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of smart energy units, and more specifically, to a system and method for detecting anti-interference performance of a smart energy unit. Background Art

[0002] With the rapid development of smart cities, smart energy units, as key infrastructure, have a stable operation that is of great significance to ensuring urban energy supply. However, in actual applications, smart energy units may face interference from various aspects, which not only affects the normal operation of the unit, but may also cause a chain reaction to the entire energy system. Therefore, it is particularly important to comprehensively evaluate and optimize the anti-interference performance of smart energy units.

[0003] Traditional testing methods often rely on actual physical equipment, with long testing cycles, high costs and poor flexibility. In addition, due to the complexity and uncertainty of the actual interference environment, it is difficult for traditional testing methods to fully simulate all possible interference scenarios. Therefore, the development of an efficient, low-cost detection system that can fully simulate interference scenarios has become an urgent need in the industry. Summary of the invention

[0004] The purpose of the present invention is to provide a smart energy unit anti-interference performance detection system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a smart energy unit anti-interference performance detection system, comprising: A high-precision virtual test environment construction module, which is used to build a virtual test platform in the cloud that simulates the actual operating environment of smart energy units; Multi-dimensional interference simulation module, used to generate and simulate various types of interference signals, including electromagnetic interference, power supply fluctuations, data transmission errors and interference in specific scenarios of natural disasters; Automated test execution module and monitoring module. The automated test execution module is responsible for automatically executing test scripts, and the monitoring module is responsible for real-time monitoring of indicators and data during the test process; Intelligent data analysis and evaluation module, which analyzes and processes the collected test data, evaluates the anti-interference ability of the smart energy unit, and generates a test report; The security isolation and data protection module ensures the secure transmission and storage of test data, while isolating the test environment to prevent data leakage and mutual interference between tests.

[0006] A further technical solution of the present application is: the high-precision virtual test environment construction module can simulate the actual working environment of the smart energy unit including the electromagnetic field, power supply system, and communication network.

[0007] A further technical solution of the present application is: the multi-dimensional interference simulation module includes multiple sub-modules, each of which is used to simulate different types of interference signals.

[0008] A further technical solution of the present application: the automated test execution module supports user-defined test scripts and can automatically execute the test process, including starting the test and applying a preset interference signal; The indicators and data include performance changes, expected recovery time and interference tolerance of smart energy units under interference signals.

[0009] A further technical solution of the present application is that the monitoring module can monitor the various performance indicators of the smart energy unit during the test in real time and record key data for subsequent analysis.

[0010] A further technical solution of the present application is: the intelligent data analysis and evaluation module adopts LSTM algorithm or random forest algorithm to conduct in-depth analysis of the test data and generate a test report containing detailed analysis results.

[0011] A further technical solution of the present application: the content of the in-depth analysis includes performance evaluation, anomaly detection, trend analysis, correlation analysis, feature extraction and selection, and optimization suggestion generation.

[0012] A further technical solution of the present application also includes a user feedback module, which allows users to provide feedback based on the test report to continuously optimize and upgrade the system.

[0013] A method for detecting anti-interference performance of a smart energy unit is provided, the method comprising the following steps: S1. System configuration: deploy the test system in the cloud, configure a high-precision virtual test environment, load the models and algorithms required by the multi-dimensional interference simulation engine, and ensure that the system can operate normally; S2. Test scenario design: design test scenarios based on the actual operating environment of the smart energy unit and possible interference factors, and define specific parameters and test indicators for each scenario; S3, deploying a model of the smart energy unit in the virtual test environment through an automated test execution module and a monitoring module, and automatically applying a preset interference signal to simulate interference conditions under real operating conditions; S4. Real-time monitoring and recording: using the automated test execution module and monitoring module, real-time monitoring of the operating status and key performance indicators of the smart energy unit during the test process, and recording all relevant data for subsequent analysis; S5. Data analysis: import the collected test data into the intelligent data analysis and evaluation module, use advanced data processing algorithms to analyze, identify the performance of the smart energy unit under interference conditions, evaluate its anti-interference ability, and diagnose potential problems; S6. Report generation: Based on the data analysis results, a detailed test report is automatically generated, including a test overview, performance indicator charts, problem diagnosis and optimization suggestions, which intuitively displays the test results. S7: Feedback processing: Feedback the test report to the user, collect user feedback, and optimize and adjust the test system or smart energy unit based on the feedback content.

[0014] A further technical solution of the present application: the test scenarios include normal operating scenarios, electromagnetic interference scenarios, power supply fluctuation scenarios and specific simulation scenarios for natural disasters; the operating status and key performance indicators include response time, data transmission success rate and error rate.

[0015] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects: By building a high-precision virtual test environment in the cloud, the test environment can be quickly deployed and flexibly adjusted, significantly reducing the test cost and cycle. The multi-dimensional interference simulation module can fully simulate various interference scenarios that may be encountered in actual operation, including electromagnetic interference, power supply fluctuations, data transmission errors and natural disasters, ensuring the accuracy and reliability of the test results. At the same time, the introduction of automated test execution modules and real-time monitoring functions further improves test efficiency, allowing users to grasp the changes in key performance indicators during the test process in real time. The present invention can conduct in-depth analysis on the collected test data. The intelligent data analysis and evaluation module adopts advanced LSTM algorithm or random forest algorithm to conduct in-depth mining of test data, evaluate the anti-interference ability of smart energy units, and generate a test report containing detailed analysis results. These analysis results not only cover basic contents such as performance evaluation, anomaly detection, trend analysis, etc., but also further extend to advanced levels such as correlation analysis, feature extraction and selection, and optimization suggestion generation. The present invention provides strong support for the anti-interference performance evaluation of smart energy units through the advantages of efficient and low-cost testing methods, comprehensive simulation of interference scenarios, automated testing and real-time monitoring, in-depth data analysis and evaluation, and continuous optimization and upgrading, thereby ensuring the stable operation of the energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A method flow chart of a smart energy unit anti-interference performance detection system provided by the present invention. DETAILED DESCRIPTION

[0017] 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 only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention. The present invention is further described below in combination with the embodiments.

[0018] See also Figure 1 In an embodiment of the present application, a smart energy unit anti-interference performance detection system includes: A high-precision virtual test environment construction module, which is used to build a virtual test platform in the cloud that simulates the actual operating environment of smart energy units; Multi-dimensional interference simulation module, used to generate and simulate various types of interference signals, including electromagnetic interference, power supply fluctuations, data transmission errors and interference in specific scenarios of natural disasters; Automated test execution module and monitoring module. The automated test execution module is responsible for automatically executing test scripts, and the monitoring module is responsible for real-time monitoring of indicators and data during the test process; Intelligent data analysis and evaluation module, which analyzes and processes the collected test data, evaluates the anti-interference ability of the smart energy unit, and generates a test report; The security isolation and data protection module ensures the secure transmission and storage of test data, while isolating the test environment to prevent data leakage and mutual interference between tests; By setting up a high-precision virtual test environment construction module, using cloud computing and virtualization technology, a virtual test platform that is highly similar to the actual operating environment of the smart energy unit is built in the cloud. The platform can accurately simulate complex environmental parameters such as electromagnetic fields, power supply systems, and communication networks to ensure the accuracy and reliability of test results. At the same time, it supports dynamic adjustment of environmental parameters to adapt to different test needs. The multi-dimensional interference simulation module contains multiple sub-modules, which are used to simulate different types of interference signals such as electromagnetic interference, power supply fluctuations, data transmission errors, and natural disasters (such as earthquakes, floods, lightning, etc.). Each sub-module is highly configurable. Users can set parameters such as the type, intensity, and duration of the interference signal according to actual needs. At the same time, the system supports combining multiple interference signals to simulate Complex interference scenarios, automated test execution module and monitoring module. The automated test execution module is responsible for executing user-defined test scripts, automatically completing tasks such as initializing the test environment, applying interference signals, and collecting test data. The monitoring module monitors the operating status and key performance indicators (such as response time, data transmission success rate, error rate, etc.) of the smart energy unit during the test in real time to ensure the real-time and accuracy of the test, and supports anomaly detection and alarm functions. Once an abnormality is found, the user is notified immediately. The intelligent data analysis and evaluation module uses advanced data processing algorithms (such as LSTM algorithm, random forest algorithm, etc.) to conduct in-depth analysis of the collected test data; evaluate the anti-interference ability of the smart energy unit in different interference scenarios, and identify performance bottlenecks and potential problems. At the same time, a detailed test report can be generated, including test overview, performance indicator charts, problem diagnosis and optimization suggestions, etc. It also supports historical data comparison and trend analysis functions to help users understand the changing trends of smart energy unit performance.

[0019] Furthermore, the high-precision virtual test environment construction module can simulate the actual working environment of the smart energy unit including the electromagnetic field, power supply system, and communication network. Specifically, in the process of developing smart energy units, we integrated a high-precision virtual test environment construction module, which accurately simulates the actual working environment of smart energy units including electromagnetic fields, power systems, and communication networks by collecting key parameters in the actual working environment, such as electromagnetic field strength, power system fluctuation range, and communication network characteristics. This virtual test environment not only reduces the cost of using actual physical equipment and improves test efficiency, but also significantly enhances the accuracy and coverage of the test. Through real-time monitoring and data analysis, we can quickly diagnose the performance bottlenecks of smart energy units under complex interference conditions, providing strong support for subsequent optimization and adjustment. In addition, the virtual test environment also supports flexible test configuration and parameter adjustment to ensure the reproducibility and reliability of test results.

[0020] Furthermore, the multi-dimensional interference simulation module includes a plurality of sub-modules, each of which is used to simulate different types of interference signals; Specifically, the electromagnetic interference submodule simulates the electromagnetic interference scenarios that the smart energy unit may encounter in actual operation by precisely controlling the frequency, intensity and waveform of electromagnetic waves; the power fluctuation submodule simulates power quality problems such as instantaneous voltage drops, surges and frequency fluctuations to evaluate the unit's tolerance to unstable power supply; the data transmission error submodule verifies the robustness of the smart energy unit when the communication network is abnormal by simulating packet loss, delays or erroneous data bit flips; and the natural disaster simulation submodule combines specific disaster characteristics (such as physical vibrations caused by earthquakes and humidity changes caused by floods) to simulate interference conditions in extreme environments, greatly expanding the coverage of the test system, and can comprehensively evaluate the performance of the smart energy unit under various interference conditions to ensure the integrity and reliability of the test; secondly, the specialized design of each submodule makes the simulation process more accurate and helps to discover potential performance bottlenecks and vulnerabilities; thirdly, the modular structure facilitates subsequent maintenance and upgrades, and can quickly expand simulation capabilities according to new interference types; finally, by simulating extreme and rare interference scenarios, it provides a stronger guarantee for the stable operation of the smart energy unit in actual applications.

[0021] Furthermore, the automated test execution module supports user-defined test scripts and can automatically execute the test process, including starting the test and applying a preset interference signal; The indicators and data include performance changes, expected recovery time and interference tolerance of smart energy units under interference signals; The automated test execution module allows users to customize test scripts according to test requirements. These scripts define the test process, test parameters, and the way to apply interference signals in detail. At the beginning of the test, the module automatically reads and executes these scripts, and completes the initialization of the test environment, the preset and application of interference signals, and the collection of test data in turn. The entire process does not require human intervention, and the test is automatically executed. At the same time, the module monitors and records key indicators and data such as the performance changes, expected recovery time, and interference tolerance of the smart energy unit under interference signals in real time. The implementation of the automated test execution module can significantly improve the test efficiency, reduce the possibility of human errors, and ensure the consistency and repeatability of the test. The flexibility of user-defined scripts makes the test scenarios more diverse and can more comprehensively evaluate the anti-interference performance of the smart energy unit. By real-time monitoring and recording of key indicators and data, users can intuitively understand the performance of the unit under different interference conditions, providing strong support for subsequent optimization and improvement. In addition, automated testing has also greatly shortened the test cycle, reduced testing costs, and provided a strong guarantee for the rapid iteration and listing of products.

[0022] Furthermore, the monitoring module can monitor various performance indicators of the smart energy unit during the test in real time and record key data for subsequent analysis; During the test, the monitoring module integrates multiple sensors and data acquisition technologies to monitor the performance indicators of the smart energy unit in real time, such as response time, data transmission rate, error rate, etc. At the same time, the module has powerful data processing capabilities, which can instantly analyze and filter out key data, such as performance change thresholds, abnormal fluctuation points, etc., and accurately record these data in the database. This real-time monitoring and recording mechanism ensures the integrity and timeliness of the test data, and provides a solid foundation for subsequent performance analysis and problem diagnosis. The real-time performance monitoring and key data recording functions of the monitoring module not only improve the transparency and management efficiency of the test, but also enhance the accuracy and credibility of the test results. Through real-time monitoring, testers can immediately discover the performance fluctuations of the smart energy unit under specific interference conditions and quickly locate potential problems; and the recording of key data provides a rich data source for subsequent performance analysis and optimization suggestions. This mechanism not only simplifies the test process and improves test efficiency, but also helps to continuously optimize and improve smart energy unit products, ensuring their stability and reliability in practical applications.

[0023] Furthermore, the intelligent data analysis and evaluation module uses LSTM algorithm or random forest algorithm to conduct in-depth analysis of the test data and generate a test report containing detailed analysis results; The intelligent data analysis and evaluation module integrates advanced machine learning algorithms, such as LSTM (Long Short-Term Memory Network) algorithm or random forest algorithm, for in-depth analysis of the collected test data. The LSTM algorithm is particularly suitable for processing time series data and can capture the trends and patterns of the performance of smart energy units over time; while the random forest algorithm provides high-accuracy classification and regression predictions by building an integrated model of multiple decision trees. The module first preprocesses the data, including steps such as cleaning and normalization, and then selects the appropriate algorithm for model training and testing. Through analysis, the module can identify the performance bottlenecks of smart energy units under interference conditions, predict recovery time, and evaluate their interference tolerance. Finally, the module automatically generates a test report containing detailed analysis results, such as performance evaluation charts, problem diagnosis and optimization suggestions, etc., to provide users with intuitive and comprehensive test feedback. The intelligent data analysis and evaluation module using LSTM algorithm or random forest algorithm significantly improves the depth and breadth of data analysis. These algorithms can automatically mine hidden information and association rules in test data and reveal the complex behavior patterns of smart energy units under different interference conditions. The generated detailed test report not only helps users fully understand the test results, but also provides a scientific basis for subsequent optimization design. In addition, the automated analysis process reduces manual intervention and improves analysis efficiency and accuracy.

[0024] Furthermore, the in-depth analysis includes performance evaluation, anomaly detection, trend analysis, correlation analysis, feature extraction and selection, and optimization suggestion generation; In the intelligent data analysis and evaluation module, the in-depth analysis covers multiple dimensions such as performance evaluation, anomaly detection, trend analysis, correlation analysis, feature extraction and selection, and optimization suggestion generation. First, by comparing the test data with the benchmark value, the performance of the smart energy unit is comprehensively evaluated; then, statistical or machine learning methods are used to detect abnormal data points and identify potential performance fluctuations or signs of failure; then, time series analysis and other technologies are used to predict the trend of performance data and gain insight into the change of unit performance over time; at the same time, correlation analysis is used to explore the intrinsic connection between different performance indicators or interference factors; in the feature extraction and selection stage, the most influential feature subsets for performance evaluation are selected; finally, based on the above analysis results, targeted optimization suggestions are generated to guide the design improvement or operation and maintenance strategy adjustment of the smart energy unit.

[0025] Furthermore, it also includes a user feedback module, which allows users to provide feedback based on the test report to continuously optimize and upgrade the system; The introduction of the user feedback module has enhanced the flexibility and adaptability of the system and promoted the continuous optimization and upgrading of the system.

[0026] The present invention realizes the rapid deployment and flexible adjustment of the test environment by constructing a high-precision virtual test environment on the cloud, significantly reducing the test cost and cycle. The multi-dimensional interference simulation module can fully simulate various interference scenarios that may be encountered in actual operation, including electromagnetic interference, power supply fluctuations, data transmission errors and natural disasters, etc., ensuring the accuracy and reliability of the test results. At the same time, the introduction of the automated test execution module and the real-time monitoring function further improves the test efficiency, allowing users to grasp the changes in key performance indicators during the test in real time; the present invention can conduct in-depth analysis of the collected test data, and the intelligent data analysis and evaluation module adopts advanced LSTM algorithm or random forest algorithm to conduct in-depth mining of the test data, evaluate the anti-interference ability of the smart energy unit, and generate a test report containing detailed analysis results. These analysis results not only cover basic contents such as performance evaluation, anomaly detection, trend analysis, etc., but also further expand to advanced levels such as correlation analysis, feature extraction and selection, and optimization suggestion generation. The present invention provides strong support for the anti-interference performance evaluation of the smart energy unit through the advantages of efficient and low-cost testing methods, comprehensive simulation of interference scenarios, automated testing and real-time monitoring, in-depth data analysis and evaluation, and continuous optimization and upgrading, thereby ensuring the stable operation of the energy system.

[0027] The present invention and its embodiments are described schematically above, and the description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. Therefore, if a person skilled in the art is inspired by it and designs a structural method and an embodiment similar to the technical solution without creativity without departing from the purpose of the invention, they shall all fall within the protection scope of the present invention.

[0028] In addition, it should be understood that although this specification is described according to implementation modes, not every implementation mode contains only independent technical solutions. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should take the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A smart energy unit anti-interference performance detection system, characterized in that: include: A high-precision virtual test environment construction module, which is used to build a virtual test platform in the cloud that simulates the actual operating environment of smart energy units; Multi-dimensional interference simulation module, used to generate and simulate various types of interference signals, including electromagnetic interference, power supply fluctuations, data transmission errors and interference in specific scenarios of natural disasters; Automated test execution module and monitoring module. The automated test execution module is responsible for automatically executing test scripts, and the monitoring module is responsible for real-time monitoring of indicators and data during the test process; Intelligent data analysis and evaluation module, which analyzes and processes the collected test data, evaluates the anti-interference ability of the smart energy unit, and generates a test report; The security isolation and data protection module ensures the secure transmission and storage of test data, while isolating the test environment to prevent data leakage and mutual interference between tests.

2. The anti-interference performance detection system of the smart energy unit according to claim 1 is characterized in that: The high-precision virtual test environment construction module can simulate the actual working environment of the smart energy unit including the electromagnetic field, power supply system, and communication network.

3. The anti-interference performance detection system of the smart energy unit according to claim 1 is characterized in that: The multi-dimensional interference simulation module includes multiple sub-modules, each of which is used to simulate different types of interference signals.

4. The anti-interference performance detection system of the smart energy unit according to claim 1 is characterized in that: The automated test execution module supports user-defined test scripts and can automatically execute the test process, including starting the test and applying a preset interference signal; The indicators and data include performance changes, expected recovery time and interference tolerance of smart energy units under interference signals.

5. The anti-interference performance detection system of the smart energy unit according to claim 1 is characterized in that: The monitoring module can monitor various performance indicators of the smart energy unit during the test in real time and record key data for subsequent analysis.

6. The anti-interference performance detection system of the smart energy unit according to claim 1 is characterized in that: The intelligent data analysis and evaluation module uses the LSTM algorithm or the random forest algorithm to conduct in-depth analysis of the test data and generate a test report containing detailed analysis results.

7. The anti-interference performance detection system of the smart energy unit according to claim 6, characterized in that: The in-depth analysis includes performance evaluation, anomaly detection, trend analysis, correlation analysis, feature extraction and selection, and optimization suggestion generation.

8. The anti-interference performance detection system of the smart energy unit according to claim 1 is characterized in that: It also includes a user feedback module, which allows users to provide feedback based on test reports to continuously optimize and upgrade the system.

9. A method for detecting the anti-interference performance of a smart energy unit according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: S1. System configuration: deploy the test system in the cloud, configure a high-precision virtual test environment, load the models and algorithms required by the multi-dimensional interference simulation engine, and ensure that the system can operate normally; S2. Test scenario design: design test scenarios based on the actual operating environment of the smart energy unit and possible interference factors, and define specific parameters and test indicators for each scenario; S3, deploying a model of the smart energy unit in the virtual test environment through an automated test execution module and a monitoring module, and automatically applying a preset interference signal to simulate interference conditions under real operating conditions; S4. Real-time monitoring and recording: using the automated test execution module and monitoring module, real-time monitoring of the operating status and key performance indicators of the smart energy unit during the test process, and recording all relevant data for subsequent analysis; S5. Data analysis: import the collected test data into the intelligent data analysis and evaluation module, use advanced data processing algorithms to analyze, identify the performance of the smart energy unit under interference conditions, evaluate its anti-interference ability, and diagnose potential problems; S6. Report generation: Based on the data analysis results, a detailed test report is automatically generated, including a test overview, performance indicator charts, problem diagnosis and optimization suggestions, which intuitively displays the test results. S7: Feedback processing: Feedback the test report to the user, collect user feedback, and optimize and adjust the test system or smart energy unit based on the feedback content.

10. The method for detecting the anti-interference performance of a smart energy unit according to claim 9, characterized in that: The test scenarios include normal operation scenarios, electromagnetic interference scenarios, power supply fluctuation scenarios, and specific simulation scenarios for natural disasters; the operating status and key performance indicators include response time, data transmission success rate, and error rate.

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