Single-chip microcomputer simulation test system of FPGA (Field Programmable Gate Array) scheme

Abstract

The invention relates to the technical field of single-chip microcomputer simulation testing, in particular to a single-chip microcomputer simulation testing system of an FPGA scheme, which comprises a configuration file analysis module, a hardware logic setting module, a protocol signal simulation module, a signal integrity analysis module, an electromagnetic compatibility evaluation module and a data flow optimization module. According to the invention, the internal structure of the FPGA is finely configured and hardware resources are adjusted, so that the customization and flexibility of a test platform are improved, multi-protocol signals are accurately simulated and adjusted, the adaptability to different test environments is enhanced, and high-precision measurement of signal stability and consistency is ensured; the electromagnetic compatibility evaluation optimizes the identification and control of electromagnetic interference, improves the overall electromagnetic compatibility of the system, and the data flow optimization significantly improves the data transmission efficiency and the system response speed by improving a transmission strategy and a buffer mechanism, thereby accelerating the period from design to production, and improving the product quality and reliability.

Description

Technical Field

[0001] The invention relates to the technical field of single-chip computer simulation test, and in particular to a single-chip computer simulation test system of FPGA solution. Background Art

[0002] The field of microcontroller simulation test technology focuses on the development and application of various test equipment and methods to evaluate the performance and functionality of microcontrollers and their related hardware and software. A microcontroller (MCU) is a microcomputer that integrates a microprocessor core, memory, programmable input and output ports, and other supporting devices on a single integrated circuit. Simulation testing not only involves circuit testing at the hardware level, such as measurement of voltage, current, signal integrity, etc., but also software level, such as functional verification of firmware and application programs. The test system may use a real or virtual test environment to simulate various situations that may be encountered in actual applications, thereby ensuring that the reliability and efficiency of the microcontroller system are verified in the early stages of design.

[0003] Among them, the MCU simulation test system of the FPGA solution involves the use of FPGA (field programmable gate array) technology to build a simulation test system for the MCU. FPGA provides a high degree of programmability and flexibility, enabling it to quickly adapt to different test requirements and simulate different MCU functions. By utilizing FPGA, the system can achieve rapid prototyping, testing and verification of MCU product designs, thereby greatly shortening the product design to production cycle, while improving the quality and reliability of the final product. This type of simulation test system is widely used in the field of electronic design automation (EDA), especially in the early stages of design, to evaluate and optimize the performance and functionality of MCUs and their integrated systems.

[0004] Existing technologies in the field of simulation testing usually rely on fixed test environments and limited test scenarios, showing insufficient flexibility and low adaptability, especially in simulating electromagnetic interference and signal changes in various working environments. In addition, traditional test methods are often inefficient in data processing and signal analysis, and cannot meet the needs of rapid iteration. The lack of highly integrated and automated test processes also often leads to extended verification cycles and increased costs, especially in electromagnetic compatibility and high-frequency response analysis. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a single-chip microcomputer simulation test system of an FPGA solution.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a single-chip microcomputer simulation test system of FPGA solution includes:

[0007] The configuration file parsing module extracts the clock frequency and voltage level from the XML or JSON file, converts them into an instruction sequence recognizable by the FPGA, standardizes the data format, verifies the accuracy and completeness, and generates the interface parameter configuration;

[0008] The hardware logic setting module configures the logic units, logic gates and registers inside the FPGA based on the interface parameter configuration, allocates hardware resources and adjusts the communication protocol logic, and generates refined logic setting data;

[0009] The protocol signal simulation module implements the simulation of multi-protocol signals on the FPGA based on the refined logic setting data, adjusts the signal characteristics, amplitude, frequency and timing of each communication protocol, records the transmission data, timestamp and voltage change of each signal, and generates protocol signal records;

[0010] The signal integrity analysis module analyzes the protocol signal records, measures the stability and transmission consistency of the signal, and compares and analyzes it with the ideal signal template to identify and quantify the deviation and attenuation in the signal and generate a comprehensive signal integrity report;

[0011] The electromagnetic compatibility evaluation module simulates the generation of electromagnetic waves and their impact on the environment based on the refined logic setting data, evaluates the propagation characteristics and interference potential of electromagnetic waves through high-frequency response analysis, calculates the attenuation of electromagnetic waves, and analyzes reflection and absorption conditions to generate a comprehensive electromagnetic compatibility evaluation report;

[0012] Based on the comprehensive signal integrity report and the comprehensive electromagnetic compatibility assessment report, the data flow optimization module redesigns the data transmission strategy and path, monitors the status of the data flow, optimizes the queuing and buffering mechanism of the data packet, evaluates the data transmission efficiency and the system response speed, and generates a data transmission optimization report.

[0013] As a further solution of the present invention, the interface parameter configuration specifically includes clock frequency, voltage level, and instruction sequence; the refined logic setting data specifically includes logic units, logic gates, and registers; the protocol signal record specifically includes signal characteristics, transmission data, and voltage changes; the comprehensive signal integrity report specifically refers to signal stability, deviation quantification, and attenuation quantification; the comprehensive electromagnetic compatibility assessment report includes electromagnetic wave characteristics, interference potential, and attenuation quantification; and the data transmission optimization report specifically includes data transmission strategy, data packet queuing, and system response speed.

[0014] As a further solution of the present invention, the configuration file parsing module includes a data extraction submodule, a format conversion submodule, and a verification generation submodule.

[0015] The data extraction submodule analyzes the file structure from XML and JSON files, extracts clock frequency and voltage level, classifies parameters using key-value mapping relationships, analyzes and extracts system configuration data, and generates configuration data sets;

[0016] The format conversion submodule re-encodes the configuration data according to the instruction parsing rules of the FPGA hardware based on the configuration data set, converts the configuration data into an instruction sequence acceptable to the hardware, performs process optimization, and generates an instruction sequence set;

[0017] The verification generation submodule performs syntax and logic verification based on the instruction sequence set, performs data integrity and accuracy verification, verifies the execution effect of the instructions through simulation testing, and generates interface parameter configuration.

[0018] As a further solution of the present invention, the hardware logic setting module includes a logic configuration submodule, a resource allocation submodule, and a protocol adjustment submodule.

[0019] The logic configuration submodule configures the interface parameters, refines the settings of the logic units, logic gates and registers, analyzes the configuration data, identifies the functions and connections of each unit, adjusts the thresholds and trigger conditions of the logic gates, and generates a logic setting diagram;

[0020] The resource allocation submodule analyzes and evaluates each logic unit and storage requirement according to the logic setting diagram, allocates hardware resources according to power consumption and performance indicators, optimizes register configuration and connection priority, and forms a resource configuration table;

[0021] The protocol adjustment submodule resets the communication protocol parameters according to the resource configuration table, adjusts the data flow rate and security settings, adjusts the logic of each layer of the protocol, improves the accuracy and stability of data transmission, and generates refined logic setting data.

[0022] As a further solution of the present invention, the protocol signal simulation module includes a signal characteristic adjustment submodule, a data recording submodule, and a signal analysis submodule.

[0023] The signal characteristic adjustment submodule uses the refined logic setting data to simulate multi-protocol signals on the FPGA, adjust the signal amplitude, frequency and timing of each communication protocol, optimize the communication standard of parameters and optimize the timing alignment, and generate a signal characteristic diagram;

[0024] The data recording submodule uses the signal characteristic diagram to record the transmission data of each signal and capture the timestamp and voltage change, and obtains a detailed transmission record through continuous monitoring;

[0025] The signal analysis submodule analyzes the performance and stability of the signal based on the detailed transmission record, performs signal integrity and consistency evaluation, adjusts signal parameters by comparing and analyzing the difference between the actual output and the expected output, and generates a protocol signal record.

[0026] As a further solution of the present invention, the signal integrity analysis module includes a stability measurement submodule, a deviation quantification submodule, and a report generation submodule.

[0027] The stability measurement submodule analyzes the stability of the measurement signal based on the protocol signal record, calculates the consistency of the signal cycle, measures the timestamp and voltage change of each waveform, identifies time offset and unstable behavior, evaluates the accuracy of the measurement result, and generates stability analysis data;

[0028] The deviation quantization submodule calculates the deviation of key points in the signal based on the stability analysis data, counts and analyzes the quantified signal attenuation and deviation size, analyzes the deviation source and quantifies its impact on the signal quality, and obtains the deviation quantization result;

[0029] The report generation submodule comprehensively analyzes the stability and deviation data of the signal based on the deviation quantification result, records the statistical data and analysis conclusions of the signal deviation in detail, and generates a signal integrity report.

[0030] As a further solution of the present invention, the deviation calculation formula of the key point is specifically:

[0031]

[0032] Among them, D represents the deviation of the key point, a i and b i Represents the weight parameter of each data point, s i represents the signal strength, and m represents the average signal strength.

[0033] As a further solution of the present invention, the electromagnetic compatibility assessment module includes a waveform simulation submodule, a propagation analysis submodule, and a compatibility report submodule.

[0034] The waveform simulation submodule sets the initial frequency and amplitude of the electromagnetic wave based on the refined logic setting data, simulates the generation and preliminary propagation path of the electromagnetic wave, analyzes the propagation behavior of the electromagnetic wave in space, evaluates the energy distribution and preliminary interference potential, and generates preliminary waveform data;

[0035] The propagation analysis submodule analyzes the reflection, refraction and absorption of the electromagnetic wave in the medium based on the preliminary waveform data, evaluates the detailed propagation characteristics and interference potential of the electromagnetic wave, calculates the attenuation of the electromagnetic wave, and obtains detailed propagation characteristics results;

[0036] Based on the detailed propagation characteristics results, the compatibility report submodule analyzes the propagation characteristics and interference potential of electromagnetic waves, identifies key technical issues, and provides guidance and decision support for each step from data integration to problem analysis to generate a comprehensive electromagnetic compatibility evaluation report.

[0037] As a further solution of the present invention, the attenuation calculation formula of the electromagnetic wave is specifically:

[0038]

[0039] Where A represents the attenuation of the electromagnetic wave, I0 represents the initial intensity of the electromagnetic wave, O represents the absorption coefficient of the medium, d represents the distance the electromagnetic wave propagates in the medium, φ represents the initial phase of the electromagnetic wave, n1 and n2 represent the refractive index of the incident medium and the propagation medium respectively, and θ represents the angle of incidence.

[0040] As a further solution of the present invention, the data flow optimization module includes a transmission strategy design submodule, a data flow monitoring submodule, and a buffer mechanism optimization submodule.

[0041] The transmission strategy design submodule analyzes the problem points and potential improvement areas of data transmission based on the comprehensive signal integrity report and the comprehensive electromagnetic compatibility evaluation report, redesigns the data path and transmission protocol, evaluates the performance of the new strategy, adjusts the data routing and load balancing settings, and generates an optimized transmission strategy;

[0042] The data flow monitoring submodule adopts the optimized transmission strategy to monitor and track the dynamics of data flow in real time, record and analyze the speed, error rate and flow of data flow status, analyze the monitoring data, identify bottlenecks and abnormal points, adjust the monitoring threshold and alarm parameters, and obtain detailed monitoring results;

[0043] Based on the detailed monitoring results, the buffer mechanism optimization submodule evaluates the efficiency of the existing buffer mechanism, optimizes the queuing and buffering strategies of data packets, adjusts the buffer size and data queuing logic, verifies the improvement effect of the buffer strategy through actual load testing, and generates a buffer mechanism optimization report.

[0044] Compared with the prior art, the advantages and positive effects of the present invention are:

[0045] In the present invention, the customization and flexibility of the test platform are improved by finely configuring the internal structure of FPGA and adjusting the hardware resources, the multi-protocol signals are accurately simulated and adjusted, the adaptability to different test environments is enhanced, and the high-precision measurement of signal stability and consistency is ensured. The electromagnetic compatibility assessment optimizes the identification and control of electromagnetic interference and improves the overall electromagnetic compatibility of the system. The data flow optimization significantly improves the data transmission efficiency and system response speed by improving the transmission strategy and buffer mechanism, thereby accelerating the cycle from design to production and improving product quality and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 is a system flow chart of the present invention;

[0048] Figure 2 It is a submodule flow chart of the present invention;

[0049] Figure 3 It is a flow chart of the configuration file parsing module of the present invention;

[0050] Figure 4 The hardware logic setting module flow chart of the present invention;

[0051] Figure 5 It is a flow chart of the protocol signal simulation module of the present invention;

[0052] Figure 6 It is a flow chart of the signal integrity analysis module of the present invention;

[0053] Figure 7 It is a flow chart of the electromagnetic compatibility evaluation module of the present invention;

[0054] Figure 8 This is a flow chart of the data flow optimization module of the present invention. DETAILED DESCRIPTION

[0055] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0056] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0057] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0058] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0059] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0060] See also Figure 1 and 2 , a single-chip microcomputer simulation test system of FPGA solution includes:

[0061] The configuration file parsing module extracts the clock frequency and voltage level from the XML or JSON file, converts them into an instruction sequence recognizable by the FPGA, standardizes the data format, verifies the accuracy and completeness, and generates the interface parameter configuration;

[0062] The hardware logic setting module configures the logic units, logic gates and registers inside the FPGA based on the interface parameter configuration, allocates hardware resources and adjusts the communication protocol logic to generate refined logic setting data;

[0063] The protocol signal simulation module implements multi-protocol signal simulation on the FPGA based on refined logic setting data, adjusts the signal characteristics, amplitude, frequency and timing of each communication protocol, records the transmission data, timestamp and voltage change of each signal, and generates protocol signal records;

[0064] The signal integrity analysis module analyzes the protocol signal records, measures the stability and transmission consistency of the signal, and compares it with the ideal signal template to identify and quantify the deviation and attenuation in the signal, and generates a comprehensive signal integrity report;

[0065] The electromagnetic compatibility assessment module simulates the generation of electromagnetic waves and their impact on the environment based on refined logic setting data, evaluates the propagation characteristics and interference potential of electromagnetic waves through high-frequency response analysis, calculates the attenuation of electromagnetic waves, and analyzes reflection and absorption to generate a comprehensive electromagnetic compatibility assessment report;

[0066] The data flow optimization module redesigns data transmission strategies and paths based on comprehensive signal integrity reports and comprehensive electromagnetic compatibility assessment reports, monitors the status of data flows, optimizes the queuing and buffering mechanisms of data packets, evaluates data transmission efficiency and system response speed, and generates data transmission optimization reports.

[0067] The interface parameter configuration specifically includes clock frequency, voltage level, and instruction sequence; the refined logic setting data specifically includes logic units, logic gates, and registers; the protocol signal record specifically includes signal characteristics, transmission data, and voltage changes; the comprehensive signal integrity report specifically includes signal stability, deviation quantification, and attenuation quantification; the comprehensive electromagnetic compatibility assessment report includes electromagnetic wave characteristics, interference potential, and attenuation quantification; the data transmission optimization report specifically includes data transmission strategy, data packet queuing, and system response speed.

[0068] See also Figure 3 and 2 ,The configuration file parsing module includes data extraction sub-module, format conversion sub-module, and verification generation sub-module.

[0069] The data extraction submodule analyzes the file structure from XML and JSON files, extracts clock frequency and voltage level, classifies parameters using key-value mapping relationships, analyzes and extracts system configuration data, and generates configuration data sets;

[0070] First, the structural data in the file must be extracted, and the time frequency and voltage level information in the file must be obtained by parsing these files. These parameters are mapped to key values ​​for subsequent classification and processing. Next, the system configuration data is extracted through in-depth analysis of the file content. This process includes the identification and extraction of various data fields, such as the processor's operating frequency and power supply voltage level. By organizing and classifying these data, hardware resources can be effectively managed and configured. After the system configuration file data set is generated, it will provide the necessary parameters for hardware configuration. This series of processing steps ensures the correct parsing and utilization of the data. The generation of the data set is a key step in achieving efficient hardware configuration.

[0071] Based on the configuration data set, the format conversion submodule re-encodes the configuration data according to the instruction parsing rules of the FPGA hardware, converts it into an instruction sequence acceptable to the hardware, performs process optimization, and generates an instruction sequence set;

[0072] The configuration data is re-encoded according to the instruction parsing rules of the FPGA hardware according to the formula V = k·F+c, where V represents the encoded configuration data, F represents the original frequency parameter, k represents the proportional constant, and c represents the offset constant. In this formula, F can be obtained by the clock frequency of the hardware, for example, F = 1.2GHz, k and c are determined according to the hardware performance and the target configuration environment, for example, k = 0.8 and c = 5, then V = 0.8·1.2+5 = 5.96. This encoding method is used to convert abstract configuration data into instruction sequences that can be directly processed by the hardware, improving the accuracy of data processing and the efficiency of hardware execution.

[0073] The verification generation submodule performs syntax and logic verification based on the instruction sequence set, verifies data integrity and accuracy, verifies the execution effect of the instructions through simulation tests, and generates interface parameter configurations:

[0074] Simulation testing is performed by simulating the environment in which instructions are executed. This includes loading an instruction sequence, executing each instruction in the sequence, and observing whether the output is as expected. This process ensures that each instruction is executed correctly as designed and there are no logical errors. For example, if an instruction is to increase the voltage, the simulation test will check whether the voltage increases in the specified increment. This test provides detailed feedback on the behavior of the hardware, helping engineers optimize the instruction sequence, thereby ensuring the stability and reliability of the hardware during actual operation. The generation of interface parameter configuration is the final step, which ensures that the hardware is correctly connected and interacts with external devices.

[0075] See also Figure 4 and 2 ,The hardware logic setting module includes a logic configuration submodule, a resource allocation submodule, and a protocol adjustment submodule.

[0076] The logic configuration submodule configures the interface parameters, refines the settings of logic units, logic gates and registers, analyzes the configuration data, identifies the functions and connections of each unit, adjusts the thresholds and trigger conditions of the logic gates, and generates the logic setting diagram;

[0077] It involves in-depth analysis of interface parameter configuration, identifying the function and connection of each unit, and adjusting the threshold and trigger conditions of the logic gate. This requires a detailed understanding of the working principle of each logic unit and its role in the entire system. The threshold adjustment of the logic gate is based on the function of the gate and the expected electronic signal processing behavior. The setting of the trigger condition ensures the response time and processing efficiency of the system. The rationalization of these settings is a key part of optimizing circuit design. Ultimately, all these parameters and settings are graphically represented in the logic setting diagram, which is a key document to ensure the correct implementation of the design intent.

[0078] The resource allocation submodule analyzes and evaluates each logic unit and storage requirement according to the logic setting diagram, allocates hardware resources according to power consumption and performance indicators, optimizes register configuration and connection priority, and forms a resource configuration table;

[0079] According to the power consumption P and performance index S, the formula is used Allocate hardware resources and calculate the generation of resource allocation table. In the formula, R represents resource allocation value, P represents power consumption, S represents performance index, and α and β are coefficients adjusted according to actual needs. Assuming that the power consumption of a logic unit is 2.5 watts, the performance index is 500 MIPS, α is set to 0.8, and β is set to 10, then This calculation process illustrates how to allocate resources based on power consumption and performance requirements to ensure that the system achieves optimized power consumption while meeting performance requirements.

[0080] The protocol adjustment submodule resets the communication protocol parameters according to the resource configuration table, adjusts the data flow rate and security settings, adjusts the logic of each layer of the protocol, improves the accuracy and stability of data transmission, and generates refined logic setting data:

[0081] This includes adjusting the data flow rate and security settings to ensure the accuracy and stability of data transmission. The adjustment of the communication protocol is based on the system's data processing capabilities and security requirements, which requires fine-tuning of the logic of each layer of the protocol. For example, the adjustment of the data flow rate takes into account the bandwidth and latency of the network, and the security settings strengthen the data encryption and verification mechanisms. These adjustments ensure the integrity and protection of the data during transmission. Through these technical measures, refined logic setting data is generated, providing guarantees for efficient and secure data transmission.

[0082] See also Figure 5 and 2 ,The protocol signal simulation module includes a signal characteristic adjustment submodule, a data recording submodule, and a signal analysis submodule.

[0083] The signal characteristic adjustment submodule uses refined logic setting data to simulate multi-protocol signals on the FPGA, adjust the signal amplitude, frequency and timing of each communication protocol, optimize the communication standard of parameters and optimize the timing alignment, and generate a signal characteristic diagram;

[0084] In the signal characteristic adjustment submodule, the multi-protocol signal simulated on the FPGA is adjusted, including the signal amplitude U, frequency ω, and timing τ, using the formula

[0085]

[0086] Optimize the parameters. Where Q represents the quality index of the signal, U is the signal amplitude, ω is the frequency, and τ is the timing. If the signal amplitude U = 5 volts, the frequency ω = 1000 Hz, and the timing τ = 0.01 seconds, then

[0087]

[0088] This shows the calculation method for signal parameter adjustment, ensuring that the signal quality is properly controlled during the adjustment process.

[0089] The data recording submodule uses the signal characteristic diagram to record the transmission data of each signal and capture the timestamp and voltage changes. Through continuous monitoring, detailed transmission records are obtained:

[0090] It includes simple recording of data and also involves the detailed capture of the timestamp and voltage changes of each signal. Through this continuous monitoring, the detailed performance of each signal during the transmission process can be collected, which is crucial for subsequent data analysis and system optimization. The recorded data can be used to analyze the performance of the signal under specific conditions, helping engineers understand the behavior and performance of the signal in the actual environment, so as to further adjust and optimize the system.

[0091] The signal analysis submodule analyzes the performance and stability of the signal based on the detailed transmission records, performs signal integrity and consistency assessment, adjusts the signal parameters by comparing and analyzing the difference between the actual output and the expected output, and generates the protocol signal record:

[0092] Including assessments of signal integrity and consistency, these analyses help identify any differences between actual and expected outputs and adjust signal parameters to improve performance. Through these analyses, the submodules can understand in detail how the signal performs during transmission, thereby ensuring efficient and accurate data transmission. The resulting protocol signal records will be used for future system optimization and performance evaluation, providing reliable data support for maintenance and upgrades.

[0093] See also Figure 6 and 2 ,The signal integrity analysis module includes a stability measurement submodule, a deviation quantification submodule, and a report generation submodule.

[0094] The stability measurement submodule analyzes the stability of the measurement signal based on the protocol signal record, calculates the consistency of the signal cycle, measures the timestamp and voltage change of each waveform, identifies time offset and unstable behavior, evaluates the accuracy of the measurement results, and generates stability analysis data;

[0095] The consistency of the measurement signal period is calculated according to the formula

[0096]

[0097] Perform stability analysis. In the formula, C represents the measurement value of the signal period consistency, T i Represents the timestamp of each signal period, is the average of the periodic timestamps, and n is the number of measured periods. Assume that there are four periodic timestamps of 0.01s, 0.011s, 0.012s, and 0.009s, and the average timestamp is but

[0098]

[0099] This calculation process helps confirm the stability of the signal period and ensure the reliability of the signal output.

[0100] The deviation quantification submodule calculates the deviation of key points in the signal based on the stability analysis data, counts and analyzes the quantified signal attenuation and deviation size, analyzes the deviation source and quantifies its impact on the signal quality, and obtains the deviation quantification result;

[0101] The specific formula for calculating the deviation of key points is:

[0102]

[0103] Among them, D represents the deviation of the key point, a i and b i Represents the weight parameter of each data point, s i represents the signal strength, and m represents the average signal strength.

[0104] The specific values ​​are set to assume that there are five data points with signal strength measurements: 100, 102, 98, 101, 99. These data values ​​are obtained under specific conditions by signal monitoring equipment to ensure their authenticity and accuracy. The average value m is calculated as follows:

[0105]

[0106] Setting a i and b i The weight parameter, for simplified calculation, assume that the weight of each point is a i =1 and b i =1. These weights are set based on the assumption that all points affect the calculation of the deviation equally, but in practice the weights may be adjusted based on the quality or importance of the points to improve the adaptability and flexibility of the model.

[0107] Insert the values ​​to calculate:

[0108]

[0109]

[0110] Substituting into the formula:

[0111]

[0112] The results show that the calculated average deviation value is 2.45, reflecting the stability and consistency of the signal. The small deviation value indicates that the signal has maintained a high stability during the monitoring period, which means that the signal quality is good and the deviation is controlled within a reasonable range, which is helpful for further signal processing and analysis.

[0113] The report generation submodule comprehensively analyzes the signal stability and deviation data based on the deviation quantification results, records the statistical data and analysis conclusions of the signal deviation in detail, and generates a signal integrity report:

[0114] The statistical data and analysis conclusions of signal deviation are recorded in detail. These records include the deviation size, attenuation and possible impact of the deviation at each key point of the signal. All these data are recorded and analyzed in detail. The generated signal integrity report not only provides a detailed view of the signal quality, but also provides an important basis for future signal improvements. Such a report is of great significance for maintaining high-quality signal transmission.

[0115] See also Figure 7 and 2 ,The electromagnetic compatibility assessment module includes a waveform simulation submodule, a propagation analysis submodule, and a compatibility report submodule.

[0116] The waveform simulation submodule sets the initial frequency and amplitude of the electromagnetic wave based on the refined logic setting data, simulates the generation and preliminary propagation path of the electromagnetic wave, analyzes the propagation behavior of the electromagnetic wave in space, evaluates the energy distribution and preliminary interference potential, and generates preliminary waveform data;

[0117] It involves analyzing the propagation behavior of electromagnetic waves in space, evaluating their energy distribution and initial interference potential. These analyses help predict the performance of electromagnetic waves in actual environments and provide basic data for further applications and research. Through these preliminary simulation data, it is possible to predict the impact that electromagnetic waves may have on the surrounding environment, so as to intervene and optimize the design at an early stage. The preliminary waveform data ultimately generated is the first comprehensive understanding of the characteristics of electromagnetic waves.

[0118] The propagation analysis submodule analyzes the reflection, refraction and absorption of electromagnetic waves in the medium based on the preliminary waveform data, evaluates the detailed propagation characteristics and interference potential of electromagnetic waves, calculates the attenuation of electromagnetic waves, and obtains detailed propagation characteristics results;

[0119] The specific calculation formula for the attenuation of electromagnetic waves is:

[0120]

[0121] Where A represents the attenuation of the electromagnetic wave, I0 represents the initial intensity of the electromagnetic wave, O represents the absorption coefficient of the medium, d represents the distance the electromagnetic wave propagates in the medium, φ represents the initial phase of the electromagnetic wave, n1 and n2 represent the refractive index of the incident medium and the propagation medium respectively, and θ represents the angle of incidence.

[0122] Where I0 represents the initial intensity of the electromagnetic wave, which is usually determined by experiment and is assumed to be 1000 units. β represents the absorption coefficient of the medium, which is usually obtained based on the physical properties of the material and experimental data and is set to 0.05 cm ；1 d represents the distance that the electromagnetic wave propagates in the medium, which is assumed to be 20 cm. φ is the initial phase of the electromagnetic wave, which is obtained by waveform measurement and is set to n1 and n2 are the refractive indices of the incident medium and propagation medium, respectively, and are set to 1.00 (air) and 1.33 (water), corresponding to typical experimental values. θ is the incident angle, which is determined by the experimental arrangement and is set to

[0123] Substitute the above parameters into the formula for calculation:

[0124]

[0125] Calculation steps breakdown: 1. Calculate the attenuation factor: e ；β·d =e ；0.05·20 =e ；1 ≈0.36792. Calculate the phase factor: Calculate the effects of refraction:

[0126]

[0127] Final calculation results:

[0128]

[0129] The results show that after 20 cm of propagation, the electromagnetic wave intensity is reduced to about 242.5 units, which illustrates the degree of electromagnetic wave attenuation in the medium and reflects the influence of refraction and reflection on the propagation effect. The attenuation is mainly determined by the absorption coefficient of the material, the propagation distance, the refractive index difference of the medium and the incident angle of the electromagnetic wave.

[0130] Based on the detailed propagation characteristics results, the compatibility report submodule analyzes the propagation characteristics and interference potential of electromagnetic waves, identifies key technical issues, and provides guidance and decision support for each step from data integration to problem analysis to generate a comprehensive electromagnetic compatibility assessment report:

[0131] Comprehensively analyze the propagation characteristics and interference potential of electromagnetic waves. These analyses cover various steps from data integration to problem analysis to ensure the comprehensive identification of technical problems and the formulation of solutions. Through this process, key factors that may affect system performance and compatibility can be identified, and decision support for these factors can be provided. The final comprehensive electromagnetic compatibility assessment report records in detail the key characteristics and potential problems of signal propagation, providing a scientific basis and guidance for system design and adjustment.

[0132] See also Figure 8 and 2 ,The data flow optimization module includes the transmission strategy design ,submodule, the data flow monitoring submodule, and the buffer mechanism optimization ,submodule.

[0133] The transmission strategy design submodule analyzes data transmission problems and potential improvement areas based on comprehensive signal integrity reports and comprehensive electromagnetic compatibility assessment reports, redesigns data paths and transmission protocols, evaluates the performance of new strategies, adjusts data routing and load balancing settings, and generates optimized transmission strategies.

[0134] First, we analyze the various signal attenuation, noise interference, signal reflection and other issues recorded in detail in the report, and optimize the design for these problem points. For example, we enhance signal integrity by using shielded wires and materials that enhance signal integrity to reduce electromagnetic interference, reconfigure data routing to adapt to different data flows, and adjust load balancing settings to optimize the use of network resources. Through these steps, we can reduce data packet loss and error rates while ensuring data transmission efficiency, and ultimately generate an optimized transmission strategy.

[0135] The data flow monitoring submodule adopts the optimized transmission strategy to monitor and track the dynamics of data flow in real time, record and analyze the speed, error rate and flow of data flow status, analyze the monitoring data, identify bottlenecks and abnormal points, adjust the monitoring threshold and alarm parameters, and obtain detailed monitoring results;

[0136] This includes obtaining key indicators such as speed, error rate and traffic from data streams in real time. Based on these data, bottlenecks and anomalies in the system can be analyzed and identified. For example, network congestion can be determined through data speed analysis, and possible hardware failures or configuration errors can be evaluated using error rate data. Traffic analysis can be used to evaluate network usage patterns and potential security risks. Monitoring thresholds and alarm parameters can be adjusted based on monitoring data to ultimately obtain detailed monitoring results that are critical to maintaining stable network operation.

[0137] The buffer mechanism optimization submodule evaluates the efficiency of the existing buffer mechanism based on detailed monitoring results, optimizes the queuing and buffering strategies of data packets, adjusts the buffer size and data queuing logic, verifies the improvement effect of the buffer strategy through actual load testing, and generates a buffer mechanism optimization report:

[0138] Based on the detailed monitoring results, the efficiency of the existing buffering mechanism is evaluated. Through actual load testing, the queuing and buffering strategies of data packets are optimized according to the formula Calculate the average queue length W. In the formula, ρ represents the arrival rate and σ represents the service rate. Considering that in a data transmission system, the packet arrival rate ρ can be collected in real time by the monitoring system, and the service rate σ is determined by evaluating the buffer and processor performance. For example, if the monitored arrival rate is 200 packets / second and the service rate is 250 packets / second, the average queue length W can be calculated as follows:

[0139]

[0140] This result shows that the optimized buffering strategy effectively controls the queue length and ensures the smooth processing of data flow.

[0141] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A single-chip microcomputer simulation test system based on FPGA solution, characterized in that: The system comprises: The configuration file parsing module extracts the clock frequency and voltage level from the XML or JSON file, converts them into instruction sequences recognizable by the FPGA, standardizes the data format, verifies the accuracy and completeness, and generates interface parameter configurations. The hardware logic setting module configures the logic units, logic gates and registers inside the FPGA based on the interface parameter configuration, allocates hardware resources and adjusts the communication protocol logic, and generates refined logic setting data; The protocol signal simulation module implements the simulation of multi-protocol signals on the FPGA based on the refined logic setting data, adjusts the signal characteristics, amplitude, frequency and timing of each communication protocol, records the transmission data, timestamp and voltage change of each signal, and generates protocol signal records; The signal integrity analysis module analyzes the protocol signal records, measures the stability and transmission consistency of the signal, and compares and analyzes it with the ideal signal template to identify and quantify the deviation and attenuation in the signal and generate a comprehensive signal integrity report; The electromagnetic compatibility evaluation module simulates the generation of electromagnetic waves and their impact on the environment based on the refined logic setting data, evaluates the propagation characteristics and interference potential of electromagnetic waves through high-frequency response analysis, calculates the attenuation of electromagnetic waves, and analyzes reflection and absorption conditions to generate a comprehensive electromagnetic compatibility evaluation report; Based on the comprehensive signal integrity report and the comprehensive electromagnetic compatibility assessment report, the data flow optimization module redesigns the data transmission strategy and path, monitors the status of the data flow, optimizes the queuing and buffering mechanism of the data packet, evaluates the data transmission efficiency and the system response speed, and generates a data transmission optimization report.

2. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The interface parameter configuration specifically includes clock frequency, voltage level, and instruction sequence; the refined logic setting data specifically includes logic units, logic gates, and registers; the protocol signal record specifically includes signal characteristics, transmission data, and voltage changes; the comprehensive signal integrity report specifically includes signal stability, deviation quantification, and attenuation quantification; the comprehensive electromagnetic compatibility assessment report includes electromagnetic wave characteristics, interference potential, and attenuation quantification; the data transmission optimization report specifically includes data transmission strategy, data packet queuing, and system response speed.

3. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The configuration file parsing module includes a data extraction submodule, a format conversion submodule, and a verification generation submodule. The data extraction submodule analyzes the file structure from XML and JSON files, extracts clock frequency and voltage level, classifies parameters using key-value mapping relationships, analyzes and extracts system configuration data, and generates configuration data sets; The format conversion submodule re-encodes the configuration data according to the instruction parsing rules of the FPGA hardware based on the configuration data set, converts it into an instruction sequence acceptable to the hardware, performs process optimization, and generates an instruction sequence set; The verification generation submodule performs syntax and logic verification based on the instruction sequence set, performs data integrity and accuracy verification, verifies the execution effect of the instructions through simulation testing, and generates interface parameter configuration.

4. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The hardware logic setting module includes a logic configuration submodule, a resource allocation submodule, and a protocol adjustment submodule. The logic configuration submodule configures the interface parameters, refines the settings of the logic units, logic gates and registers, analyzes the configuration data, identifies the functions and connections of each unit, adjusts the thresholds and trigger conditions of the logic gates, and generates a logic setting diagram; The resource allocation submodule analyzes and evaluates each logic unit and storage requirement according to the logic setting diagram, allocates hardware resources according to power consumption and performance indicators, optimizes register configuration and connection priority, and forms a resource configuration table; The protocol adjustment submodule resets the communication protocol parameters according to the resource configuration table, adjusts the data flow rate and security settings, adjusts the logic of each layer of the protocol, improves the accuracy and stability of data transmission, and generates refined logic setting data.

5. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The protocol signal simulation module includes a signal characteristic adjustment submodule, a data recording submodule, and a signal analysis submodule. The signal characteristic adjustment submodule uses the refined logic setting data to simulate multi-protocol signals on the FPGA, adjust the signal amplitude, frequency and timing of each communication protocol, optimize the communication standard of parameters and optimize the timing alignment, and generate a signal characteristic diagram; The data recording submodule uses the signal characteristic diagram to record the transmission data of each signal and capture the timestamp and voltage change, and obtains a detailed transmission record through continuous monitoring; The signal analysis submodule analyzes the performance and stability of the signal based on the detailed transmission record, performs signal integrity and consistency evaluation, adjusts signal parameters by comparing and analyzing the difference between the actual output and the expected output, and generates a protocol signal record.

6. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The signal integrity analysis module includes a stability measurement submodule, a deviation quantification submodule, and a report generation submodule. The stability measurement submodule analyzes the stability of the measurement signal based on the protocol signal record, calculates the consistency of the signal cycle, measures the timestamp and voltage change of each waveform, identifies time offset and unstable behavior, evaluates the accuracy of the measurement result, and generates stability analysis data; The deviation quantization submodule calculates the deviation of key points in the signal based on the stability analysis data, counts and analyzes the quantified signal attenuation and deviation size, analyzes the deviation source and quantifies its impact on the signal quality, and obtains the deviation quantization result; The report generation submodule comprehensively analyzes the stability and deviation data of the signal based on the deviation quantification result, records the statistical data and analysis conclusions of the signal deviation in detail, and generates a signal integrity report.

7. The single-chip microcomputer simulation test system of the FPGA solution according to claim 6, characterized in that: The specific calculation formula of the deviation of the key point is: Among them, D represents the deviation of the key point, a i and b i Represents the weight parameter of each data point, s i represents the signal strength, and m represents the average signal strength.

8. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The electromagnetic compatibility assessment module includes a waveform simulation submodule, a propagation analysis submodule, and a compatibility report submodule. The waveform simulation submodule sets the initial frequency and amplitude of the electromagnetic wave based on the refined logic setting data, simulates the generation and preliminary propagation path of the electromagnetic wave, analyzes the propagation behavior of the electromagnetic wave in space, evaluates the energy distribution and preliminary interference potential, and generates preliminary waveform data; The propagation analysis submodule analyzes the reflection, refraction and absorption of the electromagnetic wave in the medium based on the preliminary waveform data, evaluates the detailed propagation characteristics and interference potential of the electromagnetic wave, calculates the attenuation of the electromagnetic wave, and obtains detailed propagation characteristics results; Based on the detailed propagation characteristics results, the compatibility report submodule analyzes the propagation characteristics and interference potential of electromagnetic waves, identifies key technical issues, and provides guidance and decision support for each step from data integration to problem analysis to generate a comprehensive electromagnetic compatibility evaluation report.

9. The single-chip microcomputer simulation test system of the FPGA solution according to claim 8, characterized in that: The attenuation calculation formula of the electromagnetic wave is specifically: Where A represents the attenuation of the electromagnetic wave, I0 represents the initial intensity of the electromagnetic wave, O represents the absorption coefficient of the medium, d represents the distance the electromagnetic wave propagates in the medium, φ represents the initial phase of the electromagnetic wave, n1 and n2 represent the refractive index of the incident medium and the propagation medium respectively, and θ represents the angle of incidence.

10. The single-chip microcomputer simulation test system of the FPGA solution according to claim 1, characterized in that: The data flow optimization module includes a transmission strategy design submodule, a data flow monitoring submodule, and a buffer mechanism optimization submodule. The transmission strategy design submodule analyzes the problem points and potential improvement areas of data transmission based on the comprehensive signal integrity report and the comprehensive electromagnetic compatibility evaluation report, redesigns the data path and transmission protocol, evaluates the performance of the new strategy, adjusts the data routing and load balancing settings, and generates an optimized transmission strategy; The data flow monitoring submodule adopts the optimized transmission strategy to monitor and track the dynamics of data flow in real time, record and analyze the speed, error rate and flow of data flow status, analyze the monitoring data, identify bottlenecks and abnormal points, adjust the monitoring threshold and alarm parameters, and obtain detailed monitoring results; Based on the detailed monitoring results, the buffer mechanism optimization submodule evaluates the efficiency of the existing buffer mechanism, optimizes the queuing and buffering strategies of data packets, adjusts the buffer size and data queuing logic, verifies the improvement effect of the buffer strategy through actual load testing, and generates a buffer mechanism optimization report.

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