Intelligent comprehensive maintenance test system and method based on multiple frequency converters
Through the intelligent comprehensive maintenance and testing system, combined with PLC programs and adaptive control methods, the automation and intelligence of inverter testing are realized, and the problems of low test accuracy and inconsistent equipment in the existing technology are solved. Compatibility of multiple inverters is supported, and a unified format test report is generated.
Patent Information
- Application Number
- CN202510342253.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-21
- Publication Date
- 2025-08-01
AI Technical Summary
The maintenance and testing of existing inverters mainly relies on manual operations, and there are problems such as low testing accuracy, difficulty in data management, inconsistent equipment, and inability to compatible with multiple models.
It adopts an intelligent comprehensive maintenance and testing system based on a variety of inverters, including control modules, data acquisition modules, data processing and analysis modules, and data management modules. Through PLC programs and adaptive control methods, the Profibus DP protocol is supported to realize automated testing and data management of different models of inverters.
It realizes the automation and intelligence of inverter testing, improves the testing accuracy, solves the problems of inconsistency of equipment and difficulty in data management, supports compatibility of multiple models of inverters, generates test reports in a unified format, and reduces the cumbersomeness of manual operations and the risk of response delay.
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Figure CN120405254A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of frequency converter maintenance and testing. Specifically, it relates to an intelligent integrated maintenance and testing system and method for multiple frequency converters. More specifically, it relates to an intelligent integrated maintenance and testing platform for multiple frequency converters and its data acquisition and management module. Background Art
[0002] Currently, the maintenance and testing of frequency converters mainly rely on manual operation and traditional testing equipment, suffering from problems such as low testing accuracy, difficult data management, and inconsistent equipment. In the prior art, most intelligent testing platforms can only test specific models of frequency converters, are unable to be compatible with multiple models, and have imperfect data acquisition and management functions.
[0003] Patent document CN119087107A (application number: 202411595316.X) discloses a frequency converter whole machine, board card, and component detection device. It includes a core controller, a whole machine testing module, a board card testing module, a component testing module, and a human-computer interaction device. The core controller is connected to the human-computer interaction device, and the core controller is connected to the whole machine testing module and the board card testing module. The component testing module is connected to the components to be tested on the frequency converter board card. The core controller is connected to the human-computer interaction device through Ethernet. The system structure is relatively complex, with multiple modules depending on each other, making maintenance and troubleshooting potentially difficult. The system has poor adaptability to different models of frequency converters and requires manual configuration adjustment, reducing the convenience of use. Summary of the Invention
[0004] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide an intelligent integrated maintenance and testing system and method for multiple frequency converters.
[0005] According to an intelligent integrated maintenance and testing system for multiple frequency converters provided by the present invention, it includes:
[0006] A control module for controlling the frequency converter, including start-stop control and frequency setting;
[0007] A data acquisition module for collecting various real-time data from the data acquisition terminal of the integrated maintenance and testing system and preprocessing the collected various real-time data to obtain preprocessed data;
[0008] A data processing and analysis module for processing and analyzing the preprocessed information to achieve fault diagnosis and generate a diagnosis report;
[0009] A data management module for storing and managing data and generating a test report according to user requirements; the test report is displayed through a user interface.
[0010] Preferably, the control module includes: sending start and stop control instructions to the frequency converter through the PLC program to start or stop the operation of the frequency converter; at the same time, setting different frequencies through the PLC program to adjust the output frequency of the frequency converter, thereby controlling the speed of the motor to meet the operation requirements under different working conditions.
[0011] Preferably, the PLC program supports the Profibus DP protocol so that the control module can control frequency converters of different models.
[0012] Preferably, an adaptive control method is adopted to adjust the control instructions according to the requirements of different frequency converters to ensure that multiple types of frequency converters can be compatible on the same platform;
[0013] Regarding the register address differences of different frequency converters, when the comprehensive maintenance test system switches different types of frequency converters, the corresponding mapping data is called to convert the general parameter request into the actual register address of the current frequency converter, and the corresponding parameter values are obtained by reading different addresses of different types of frequency converters;
[0014] Define a set of standardized instruction sets, including start, stop, and frequency setting instructions, and adapt them to the native instruction formats of different frequency converters through the instruction conversion layer.
[0015] Preferably, the data acquisition module includes:
[0016] Module M2.1: used to obtain frequency converter and PLC information;
[0017] Module M2.2: performing processing including filtering, amplification, and conversion on the obtained frequency converter and PLC information to obtain processed information;
[0018] Module M2.3: performing data verification and formatting processing on the processed information to obtain preprocessed information;
[0019] Among them, the frequency converter information includes: obtaining frequency converter information through a power analyzer, including: frequency converter voltage, current, frequency data, and speed;
[0020] The PLC information includes: control instruction data and fault information.
[0021] Preferably, the data processing and analysis module includes:
[0022] Module M3.1: Based on the preprocessed voltage, current, and frequency data of the frequency converter, real-time monitoring the operating status of the frequency converter to determine whether it is within the normal working range. When an over-limit situation occurs, an alarm is automatically triggered and the fault information is recorded;
[0023] Module M3.2: Extract features from the preprocessed information and perform fault diagnosis based on the extracted features; among them, the extracted features include electrical features and motion state features;
[0024] Module M3.2: Calculate whether the operating state of the frequency converter reaches a stable state based on the real-time data of the three-phase voltage and current of the preprocessed frequency converter; in the stable state, calculate the real-time deviation value of the output voltage and current of the frequency converter and the maximum deviation value of the entire operating state. When the maximum deviation value of the voltage or current exceeds the preset threshold, it is determined that there is an unbalanced load problem.
[0025] A method for intelligent comprehensive maintenance and testing of multiple frequency converters provided by the present invention includes:
[0026] Step S1: Use the control module to control the frequency converter, including start-stop control and frequency setting;
[0027] Step S2: Use the data acquisition module to collect various real-time data from the data acquisition terminal of the comprehensive maintenance and testing system, and preprocess the collected various real-time data to obtain preprocessed data;
[0028] Step S3: Use the data processing and analysis module to perform data processing and analysis on the preprocessed information, so as to achieve fault diagnosis and generate a diagnostic report;
[0029] Step S4: Use the data management module to store and manage the data, and generate a test report according to user requirements; the test report is displayed through the user interface.
[0030] Preferably, the control module includes: sending start and stop control commands to the frequency converter through the PLC program, and then starting or stopping the operation of the frequency converter; at the same time, setting different frequencies through the PLC program to adjust the output frequency of the frequency converter, so as to control the speed of the motor and meet the operating requirements under different working conditions.
[0031] Preferably, the PLC program supports the Profibus DP protocol, so that the control module can control different models of frequency converters;
[0032] Adopt an adaptive control method to adjust the control commands according to the requirements of different frequency converters to ensure that the same platform can be compatible with multiple types of frequency converters;
[0033] In view of the register address differences of different frequency converters, when the comprehensive maintenance and testing system switches different types of frequency converters, the corresponding mapping data is called to convert the general parameter request into the actual register address of the current frequency converter, and the corresponding parameter values are obtained by reading different addresses of different types of frequency converters;
[0034] Define a set of standardized instruction sets, including start, stop, and frequency setting instructions, and adapt them to the native instruction formats of different inverters through an instruction conversion layer.
[0035] Preferably, the data acquisition module includes:
[0036] Module M2.1: Used to obtain inverter and PLC information;
[0037] Module M2.2: Perform processing including filtering, amplification, and conversion on the obtained inverter and PLC information to obtain processed information;
[0038] Module M2.3: Perform data verification and formatting on the processed information to obtain preprocessed information;
[0039] Among them, the inverter information includes: obtaining inverter information through a power analyzer, including: inverter voltage, current, frequency data, and rotational speed;
[0040] The PLC information includes: control instruction data and fault information;
[0041] The data processing and analysis module includes:
[0042] Module M3.1: Based on the preprocessed voltage, current, and frequency data of the inverter, monitor the operating status of the inverter in real time, determine whether it is within the normal operating range, and when an overlimit situation occurs, automatically trigger an alarm and record the fault information;
[0043] Module M3.2: Extract features from the preprocessed information and perform fault diagnosis based on the extracted features; among them, the extracted features include electrical features and motion state features;
[0044] Module M3.2: Based on the real-time data of the three-phase voltage and current of the inverter after preprocessing, calculate whether the operating state of the inverter reaches a stable state; calculate the real-time deviation value of the output voltage and current of the inverter and the maximum deviation value of the entire operating state under the stable state. When the maximum deviation value of the voltage or current exceeds the preset threshold, it is determined that there is an unbalanced load problem.
[0045] Compared with the prior art, the present invention has the following beneficial effects:
[0046] 1. By using a power analyzer, the present invention solves the problem of fluctuating test accuracy caused by subjective factors in manual operations; combined with an automated data acquisition module, it realizes real-time and accurate measurement of parameters such as inverter voltage and current, avoiding the defects of cumbersome operation and long test cycles of traditional instruments;
[0047] 2. The present invention solves the problems of test data loss and errors caused by traditional manual recording through a modular data management architecture, realizes real-time storage, multi-dimensional analysis, and historical traceability of test data, generates test reports in a unified format, and significantly improves the standardization of data management and decision-making efficiency.
[0048] 3. The PLC control system of the present invention based on protocol compatibility supports the Profibus DP protocol and solves the problem of incompatible interfaces of inverters of different brands and models. By adopting adaptive control logic, such as dynamic mapping of register addresses and adaptation of a unified instruction set, it realizes automatic testing of multiple inverters on a single platform, eliminating the limitations of traditional testing equipment relying on brand-specific tools.
[0049] 4. Through the data visualization and control module, the present invention solves the pain points in traditional testing that it is impossible to monitor the device status and adjust parameters in real time. Combined with the real-time alarm mechanism for abnormal data, it realizes the rapid positioning of inverter faults, ensures the continuity and safety of the testing process, and avoids the risk of secondary faults caused by manual response delays.
[0050] 5. Through the intelligent control and efficient data acquisition and management compatible with multiple inverters, the present invention solves the problems of low testing accuracy, difficult data management, and inconsistent equipment in traditional inverter repair and testing, and realizes the automation and intelligence of inverter repair and testing. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] Other features, objectives, and advantages of the present invention will become more apparent by reading the detailed description of the non-limiting embodiments with reference to the following drawings:
[0052] Figure 1 It is a schematic diagram of an intelligent integrated repair and test system for multiple inverters. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0053] The present invention will be described in detail below with reference to specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those of ordinary skill in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.
[0054] Embodiment 1
[0055] According to an intelligent integrated repair and test system for multiple inverters provided by the present invention, as Figure 1 shown, it includes:
[0056] The control module is responsible for precise control of the inverter, primarily including start / stop control and frequency setting. Through the PLC program, the control module can send start and stop commands to the inverter, thereby starting or stopping the inverter's operation. The PLC program can also adjust the inverter's output frequency by setting different frequencies, thereby controlling the motor's speed to meet the operating requirements under different operating conditions.
[0057] In this embodiment, the integrated maintenance test system supports the Profibus DP protocol, enabling the control module to flexibly connect and control inverters of different brands and models. Furthermore, by employing adaptive control logic (such as register address mapping and unified instruction set adaptation), the integrated maintenance test system can adapt control instructions to the needs of different inverters, ensuring compatibility with multiple inverter types on the same platform, thus avoiding the limitations of traditional test equipment that only supports specific models.
[0058] More specifically, the adaptive control logic includes:
[0059] Register address mapping: To address the differences in register addresses between different inverters, the comprehensive maintenance and testing system has built-in mapping data. It stores the register address mapping relationships of key parameters (such as frequency, voltage, current, torque, etc.) of inverters of various brands.
[0060] When the integrated maintenance test system connects to a new inverter, it switches to the corresponding brand and model and calls the corresponding mapping data, converting the general parameter request into the actual register address of the inverter. For example, when reading "output frequency," if the current connection is a brand A inverter, it is mapped to address 03E8H; if it is a brand B inverter, it is mapped to address 07D0H, achieving seamless adaptation. The corresponding value is obtained by reading the different addresses of different brands of inverters.
[0061] Unified instruction set adaptation: The integrated maintenance test system defines a set of standardized instruction sets (such as start, stop, and frequency setting) and adapts them to the native instruction formats of different inverters through the instruction conversion layer.
[0062] For example, for the "start" directive:
[0063] Brand A inverter needs to send hexadecimal command 047FH.
[0064] Brand B inverter needs to send hexadecimal command 047AH.
[0065] Select the corresponding instruction format according to the current inverter model to ensure the correct parsing and execution of the control instructions
[0066] The data acquisition module is responsible for collecting various real-time data from the data acquisition terminals of the frequency converter comprehensive maintenance test system. It receives analog and digital signals from the frequency converter, PLC, and power analyzer. It preprocesses the received signals, including filtering, amplification, conversion, etc., to ensure the accuracy and stability of the data. It converts the analog signals into digital signals through the built-in ADC (analog-to-digital converter) and performs preliminary data verification and formatting. It sends the processed digital signals to the data processing and analysis module.
[0067] Among them, the receiving of analog and digital signals from the frequency converter, PLC, and power analyzer includes:
[0068] Voltage and current: Used to detect the output electrical parameters of the frequency converter to ensure that they are within the normal working range.
[0069] Frequency and speed: These data help to evaluate the control effect of the frequency converter on the motor.
[0070] Operating status: Such as running / stopping status, used to monitor the operation of the frequency converter.
[0071] Fault alarm data: Used to detect the faults of the frequency converter in time and provide a basis for fault troubleshooting.
[0072] The acquisition of these data is mainly completed through the analog and digital signal interfaces, DP communication interfaces, or Ethernet communication of the frequency converter and processed through the PLC program.
[0073] The data acquired from the PLC includes: Control instruction data: Such as control signals for starting, stopping, frequency setting, etc., used to control the operation of the frequency converter.
[0074] Operating parameter feedback data: Includes feedback data such as operating status and frequency obtained from the frequency converter, which is convenient for further control and adjustment.
[0075] Fault information: Includes fault signals received by the PLC from the frequency converter, such as overload, over-temperature and other alarm data.
[0076] The PLC exchanges data with the frequency converter through the Profibus DP or Ethernet protocol to obtain the operating status, parameter settings, and fault information.
[0077] The data acquired from the power analyzer: The power analyzer mainly acquires the following data:
[0078] Power data: Includes the output power, power factor, etc. of the frequency converter. These data are used to monitor whether the frequency converter operates efficiently.
[0079] Voltage and current waveforms: The power analyzer can collect current and voltage waveforms in real time for waveform analysis to check the power quality.
[0080] By connecting to the inverter, the power analyzer can provide detailed power parameters to help diagnose the operating efficiency and stability of the inverter and motor.
[0081] The data processing and analysis module is responsible for storing massive amounts of data, displaying real-time data, presenting real-time curves, and performing intelligent analysis. It receives digital signals from the data acquisition module and performs further processing and analysis on the data, including data verification, noise removal, and normalization. It utilizes algorithms and models to deeply mine and analyze the data, extracting useful information and features. The processed data and analysis results are then sent to the data management module and provided to the user interface module for real-time display and presentation.
[0082] Specifically, the data processing and analysis module includes:
[0083] Based on the acquired voltage, current, frequency and other data, the inverter's operating status is monitored in real time to determine whether it is within the normal operating range. If an over-limit situation occurs, an alarm is automatically triggered and the fault information is recorded.
[0084] In the above process, the collected data is denoised and filtered to ensure that subsequent data analysis is accurate and to avoid misjudgment due to noise.
[0085] Furthermore, based on the data provided by the power analyzer and PLC, combined with the operating status and fault alarm data of the inverter, the potential faults of the inverter are analyzed and a detailed fault report is generated to provide decision support for maintenance personnel.
[0086] More specifically, first, collect data, including:
[0087] Inverter: voltage, current, output frequency, speed, temperature, fault code (such as overvoltage, overcurrent, overheating, etc.).
[0088] Power analyzer: voltage, current, power factor, harmonic content, voltage / current waveform distortion rate.
[0089] Extract features based on the collected data and implement real-time monitoring based on the extracted features;
[0090] The extracted features include: electrical features, operating state features,
[0091] The electrical characteristics include:
[0092] Three-phase balance: Calculate the maximum deviation of the three-phase voltage / current. If it exceeds a threshold (such as ±3%), it is determined to be load imbalance or power supply abnormality.
[0093] Harmonic analysis: Extract harmonic components (such as the proportion of the 5th harmonic). If the total harmonic distortion (THD) > 10%, it is determined as harmonic pollution.
[0094] The operating state characteristics include:
[0095] Frequency volatility: Statistically analyze the variance of the output frequency. If the continuous fluctuation exceeds the limit, it may be due to abnormal control logic or external interference.
[0096] Multi-level diagnostic logic:
[0097] The first layer (threshold alarm): Directly trigger an alarm based on a preset threshold (such as determining overload when the current > 120% of the rated value).
[0098] The second layer (correlation analysis): Combine the correlation analysis of multiple parameters. For example:
[0099] If both "sudden increase in current" and "soaring temperature" are detected simultaneously, it is determined as motor blockage or bearing seizure.
[0100] If "output frequency fluctuation" + "high harmonic distortion rate", it is determined as unstable grid voltage or rectifier module failure.
[0101] Finally, perform fault location and report generation;
[0102] Root cause reasoning: For example, if it is determined as "three-phase imbalance", further analyze whether it is a phase loss on the power supply side, a short circuit in the motor winding, or a loose wiring terminal.
[0103] Report content: Fault type, severity level, occurrence time, related parameters (such as exceeded values), maintenance suggestions (such as "check the motor insulation resistance"). Additional visual data such as waveform diagrams, trend curves, and harmonic spectra are provided to assist manual review.
[0104] In this embodiment, when performing in-depth mining and analysis on data, calculating the maximum deviation value is an important step, especially in terms of monitoring the stability and balance of the system. The calculation of the maximum deviation value is usually used to analyze the load imbalance problem in a three-phase power system. When the control frequency occurs, the three-phase voltage and current data of the frequency converter are unstable, and the calculated data error is large, which cannot be used as a judgment basis. First, through the real-time data of the three-phase voltage and current input by the power analyzer, calculate whether the operating state of the frequency converter reaches a stable state. In the stable state, calculate the real-time deviation value of the output voltage and current of the frequency converter and the maximum deviation value of the entire operating state, so as to judge the stability of the frequency converter. If the calculated maximum deviation value of the voltage or current exceeds the preset threshold, it can be judged that there is a load imbalance problem in the system. Calculating the maximum deviation value is a key step in the balance detection of the electrical system in data analysis. By deeply analyzing the three-phase voltage and current data, extracting the deviation value, and calculating the maximum deviation value, the balance state of the power system can be effectively monitored, and the potential risks brought by unbalanced loads can be avoided.
[0105] The data management module is responsible for data storage, retrieval, statistical report generation, and automatic generation of test reports on the platform. It receives the data and analysis results from the data processing and analysis module. Stores and manages the data, provides a data retrieval function, and generates test reports according to user needs. Sends the generated reports to the user interface module for display, and at the same time provides data interfaces for other modules or external systems to call.
[0106] The user interface module is responsible for real-time data display, curve display, reception and processing of user operation instructions. It receives the reports and reports from the data management module, as well as the real-time data and curve display requests from the data processing and analysis module. Formats the received data and information and displays it to the user with a friendly user interface. Utilizes graphical interface technology to achieve real-time data display and curve display, provides a user operation interface to receive and process user operation instructions. According to the user's operation instructions, sends the corresponding signals to the data processing and analysis module or the data management module for further processing.
[0107] The present invention also provides a multi-variable frequency drive intelligent integrated maintenance test system. The multi-variable frequency drive intelligent integrated maintenance test system can be implemented by executing the process steps of the multi-variable frequency drive intelligent integrated maintenance test method. That is, those skilled in the art can understand the multi-variable frequency drive intelligent integrated maintenance test method as the preferred implementation manner of the multi-variable frequency drive intelligent integrated maintenance test system.
[0108] Those skilled in the art know that, in addition to implementing the systems, devices and their respective modules provided by the present invention in the form of pure computer-readable program code, the method steps can be logically programmed to enable the systems, devices and their respective modules provided by the present invention to be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. to achieve the same program. Therefore, the systems, devices and their respective modules provided by the present invention can be regarded as a kind of hardware component, and the modules included therein for implementing various programs can also be regarded as the structures within the hardware component; the modules for implementing various functions can also be regarded as either software programs for implementing the method or the structures within the hardware component.
[0109] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. Without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.
Claims
1. An intelligent integrated maintenance and test system based on multiple frequency converters, characterized in that, including: a control module for controlling the frequency converter, including start-stop control and frequency setting; a data acquisition module for collecting various real-time data from the data acquisition terminal of the integrated maintenance test system and preprocessing the collected real-time data to obtain preprocessed data; a data processing and analysis module for processing and analyzing the preprocessed information to achieve fault diagnosis and generate a diagnostic report; a data management module for storing and managing data and generating a test report according to user requirements; the test report is displayed through a user interface.
2. The intelligent integrated maintenance and test system for multiple frequency converters according to claim 1, wherein The control module includes: sending start and stop control commands to the frequency converter through a PLC program to start or stop the operation of the frequency converter; at the same time, setting different frequencies through the PLC program to adjust the output frequency of the frequency converter, thereby controlling the speed of the motor to meet the operation requirements under different working conditions.
3. The intelligent comprehensive maintenance and test system for multiple frequency converters according to claim 2, characterized in that The PLC program supports the Profibus DP protocol so that the control module can control frequency converters of different models.
4. The intelligent integrated maintenance and test system for multiple frequency converters according to claim 3, characterized in that, An adaptive control method is adopted to adjust the control commands according to the requirements of different frequency converters to ensure that a single platform can be compatible with multiple types of frequency converters; In view of the register address differences of different frequency converters, when the integrated maintenance test system switches different types of frequency converters, the corresponding mapping data is called to convert the general parameter request into the actual register address of the current frequency converter, and the corresponding parameter values are obtained by reading different addresses of different types of frequency converters; A set of standardized instruction sets are defined, including start, stop, and frequency setting instructions, and they are adapted to the native instruction formats of different frequency converters through an instruction conversion layer.
5. The intelligent comprehensive maintenance and test system for multiple frequency converters according to claim 1, wherein, The data acquisition module includes: Module M2.1: for obtaining frequency converter and PLC information; Module M2.2: performing processing including filtering, amplification, and conversion on the obtained frequency converter and PLC information to obtain processed information; Module M2.3: performing data verification and formatting processing on the processed information to obtain preprocessed information; Among them, the frequency converter information includes: obtaining frequency converter information through a power analyzer, including: frequency converter voltage, current, frequency data, and speed; The PLC information includes: control instruction data and fault information.
6. The intelligent integrated maintenance and test system for multiple frequency converters according to claim 1, characterized in that, The data processing and analysis module includes: Module M3.1: based on the preprocessed voltage, current, and frequency data of the frequency converter, real-time monitoring the operating state of the frequency converter to judge whether it is within the normal working range. When an over-limit situation occurs, an alarm is automatically triggered and the fault information is recorded; Module M3.2: extracting features from the preprocessed information and performing fault diagnosis based on the extracted features; among them, the extracted features include electrical features and motion state features; Module M3.2: calculating whether the operating state of the frequency converter reaches a stable state based on the real-time data of the three-phase voltage and current of the preprocessed frequency converter; calculating the real-time deviation value of the output voltage and current of the frequency converter and the maximum deviation value of the entire operating state under the stable state. When the maximum deviation value of the voltage or current exceeds the preset threshold, it is judged that there is an unbalanced load problem.
7. An intelligent comprehensive maintenance and testing method based on multiple frequency converters, characterized in that, including: Step S1: Use the control module to control the frequency converter, including start / stop control and frequency setting; Step S2: Use the data acquisition module to collect various real-time data from the data acquisition terminal of the comprehensive maintenance test system, and preprocess the collected real-time data to obtain preprocessed data; Step S3: Use the data processing and analysis module to process and analyze the preprocessed information, so as to achieve fault diagnosis and generate a diagnostic report; Step S4: Use the data management module to store and manage the data, and generate a test report according to user requirements; the test report is displayed through the user interface.
8. The intelligent comprehensive maintenance and test method for multiple frequency converters according to claim 7, wherein The control module includes: sending start and stop control commands to the frequency converter through the PLC program to start or stop the operation of the frequency converter; at the same time, setting different frequencies through the PLC program to adjust the output frequency of the frequency converter, thereby controlling the speed of the motor to meet the operation requirements under different working conditions.
9. The intelligent comprehensive maintenance and testing method for multiple frequency converters according to claim 8, characterized in that, The PLC program supports the Profibus DP protocol, so that the control module can control frequency converters of different models; Adopt an adaptive control method to adjust the control commands according to the requirements of different frequency converters to ensure that the same platform can be compatible with multiple types of frequency converters; For the register address differences of different frequency converters, when the comprehensive maintenance test system switches different types of frequency converters, the corresponding mapping data is called to convert the general parameter request into the actual register address of the current frequency converter, and the corresponding parameter values are obtained by reading different addresses of different types of frequency converters; Define a set of standardized instruction sets, including start, stop, and frequency setting instructions, and adapt them to the native instruction formats of different frequency converters through the instruction conversion layer.
10. The intelligent comprehensive maintenance and test method for multiple frequency converters according to claim 7, characterized in that, The data acquisition module includes: Module M2.1: Used to obtain frequency converter and PLC information; Module M2.2: Perform processing including filtering, amplification, and conversion on the obtained frequency converter and PLC information to obtain processed information; Module M2.3: Perform data verification and formatting processing on the processed information to obtain preprocessed information; Among them, the frequency converter information includes: obtaining frequency converter information through a power analyzer, including: frequency converter voltage, current, frequency data, and speed; The PLC information includes: control instruction data and fault information; The data processing and analysis module includes: Module M3.1: Based on the preprocessed voltage, current, and frequency data of the frequency converter, monitor the operating state of the frequency converter in real time, judge whether it is within the normal working range, and automatically trigger an alarm and record the fault information when an over-limit situation occurs; Module M3.2: Extract features from the preprocessed information and perform fault diagnosis based on the extracted features; among them, the extracted features include electrical features and motion state features; Module M3.2: Calculate whether the operating state of the frequency converter reaches a stable state based on the real-time data of the three-phase voltage and current of the preprocessed frequency converter; calculate the real-time deviation value of the output voltage and current of the frequency converter and the maximum deviation value of the entire operating state under the stable state. When the maximum deviation value of the voltage or current exceeds the preset threshold, it is determined that there is an unbalance problem in the load.
Citation Information
Patent Citations
Frequency converter complete machine, board card and component detection device
CN119087107A