Intelligent high-voltage load equipment verification system

Abstract

The invention relates to the technical field of electrical equipment verification, and discloses an intelligent high-voltage load equipment verification system, which comprises a main control unit, a high-voltage load simulation unit, a data acquisition unit, a data processing unit, a power supply unit, a power supply unit, a power supply unit and a power supply unit, and is characterized in that the main control unit is used for coordinated operation and data comprehensive analysis of all parts of the system; the parameter acquisition unit is used for acquiring electrical parameters and non-electrical parameters in operation of high-voltage load equipment in real time, the data analysis unit is used for deeply analyzing acquired data, evaluating equipment performance and predicting potential faults, and the man-machine interaction unit is convenient for a user to perform parameter setting, operation control and check a verification result and an analysis report. Various complex working conditions can be accurately generated through the high-voltage load simulation unit, different load characteristics and a wide parameter range are covered, the complex working conditions are truly restored through dynamic load simulation, self-adaptive adjustment and a multifunctional load combination module, the complex working conditions are highly matched with actual working loads, and verification accuracy is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment calibration, and in particular to an intelligent high-voltage load equipment calibration system. Background Art

[0002] High-voltage load equipment calibration is an important part of ensuring the safe and stable operation of high-voltage load equipment. It simulates high-voltage load conditions, collects electrical and non-electrical parameters during equipment operation, analyzes and evaluates equipment performance-related issues, and determines whether the equipment performance is qualified. This provides a basis for troubleshooting and repair, improves equipment reliability, and reduces failure risks, which is of key significance to ensuring the normal operation of the high-voltage system.

[0003] The calibration of existing high-voltage load equipment usually adopts a single load simulation method, which is difficult to accurately simulate complex and diverse actual working conditions. The data collection methods are limited, the collection of different parameters is not synchronized, and the accuracy is not high. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an intelligent high-voltage load equipment calibration system, which solves the problem that the calibration effect of the high-voltage load equipment calibration system in the prior art is not perfect.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent high-voltage load equipment calibration system, including a main control unit, using a multi-core processor with high-speed data processing and intelligent control functions, for coordinated operation of various parts of the system and comprehensive data analysis; High-voltage load simulation unit, used to accurately generate a variety of high-voltage load conditions, covering different load characteristics and a wide range of parameters, and the load parameters can be adjusted accurately and quickly; Data acquisition unit, equipped with multiple types of sensors, used to collect electrical and non-electrical parameters of high-voltage load equipment in real time; Data analysis unit, used to conduct in-depth analysis of collected data, evaluate equipment performance and predict potential failures; The human-computer interaction unit facilitates users to set parameters, operate and control, and view calibration results and analysis reports.

[0006] Preferably, the high-voltage load simulation unit includes: a dynamic load simulation module, which is used to simulate the dynamic load changes in the actual operation of the high-voltage load equipment and truly restore complex working conditions; a load adaptive adjustment module, which automatically adjusts the load parameters to ensure that the simulated load is highly matched with the actual working load and improves the calibration accuracy; a multi-functional load combination module, which is composed of a variety of flexibly configured load elements and can be quickly combined into different load models according to different calibration requirements to meet the calibration requirements of various types of high-voltage load equipment.

[0007] Preferably, the data acquisition unit includes: a multi-parameter integrated sensor array, which integrates high-precision sensors for voltage, current, power, temperature, humidity and vibration to achieve synchronous acquisition of multiple parameters; a synchronous data acquisition circuit module, which uses clock synchronization technology to ensure high-speed synchronization of data acquisition and effectively capture transient information; a data calibration and compensation module, which is used to correct sensor errors and compensate data according to environmental factors to ensure data accuracy and stability.

[0008] Preferably, the data analysis unit includes: a deep learning fault diagnosis module, which uses a deep neural network to learn a large amount of historical data, and can accurately identify the fault type, location and severity of the high-voltage load equipment. When a fault type is detected in the equipment and the fault location is clear, the performance of the equipment is judged according to a pre-set level threshold; a performance evaluation and prediction module, which is used to quantitatively evaluate the performance of the equipment, and predict the future performance trend of the equipment based on historical data and real-time status, obtain the quantitative evaluation value of the current performance of the equipment, and compare it with the preset performance qualification standard value to judge the performance of the equipment.

[0009] Preferably, the human-computer interaction unit includes: a graphical operation interface, where the user can complete the verification task setting, system control and data query functions through touch operation; a real-time data visualization module, which is used to intuitively display the collected data and analysis results in the form of charts, curves and three-dimensional graphics, so that the user can understand the equipment operation status and verification process in real time; a data management and report generation module, which supports the classified storage and query retrieval of verification data and can automatically generate detailed verification reports.

[0010] Preferably, the system also includes a communication module and data transmission and sharing functions, supports Ethernet, Bluetooth and Wi-Fi communication protocols, realizes data communication between the system and external devices or remote terminals, and facilitates remote monitoring and operation; the data transmission and sharing function can transmit the verification data to the cloud server and other data analysis platforms in real time, realizes data sharing and collaborative processing, and provides support for remote diagnosis and maintenance of equipment.

[0011] Preferably, a method for calibrating an intelligent high-voltage load device comprises the following steps: S1. Verification preparation: Connect the high-voltage load equipment to the verification system, check the equipment status and wiring, turn on the system and set the verification parameters through the human-computer interaction unit; S2. Load simulation and data acquisition: According to the verification task, the high-voltage load simulation unit generates the corresponding high-voltage load condition, and the data acquisition unit collects equipment operation data in real time; S3. Data analysis and evaluation: The data analysis unit analyzes and processes the collected data, uses built-in modules to evaluate the performance of the equipment, and determines whether it is qualified; S4. Result output and processing: The verification results and performance evaluation report are displayed through the human-computer interaction unit. If the equipment performance is unqualified, troubleshoot and repair are carried out according to the diagnostic suggestions, and re-calibrate after repair.

[0012] The present invention provides an intelligent high-voltage load equipment calibration system, which has the following beneficial effects: 1. The present invention can accurately generate a variety of complex working conditions through a high-voltage load simulation unit, covering different load characteristics and a wide range of parameters. Through dynamic load simulation, adaptive adjustment and a multi-functional load combination module, the complex working conditions can be truly restored, highly matched with the actual workload, and greatly improved verification accuracy.

[0013] 2. The present invention realizes multi-parameter synchronous acquisition through a multi-parameter integrated sensor array and a synchronous acquisition circuit, and combines a data calibration and compensation module to ensure data accuracy and stability.

[0014] 3. The present invention provides a graphical operation interface, real-time data visualization and report generation functions through a human-computer interaction unit, which is convenient for users to operate and understand the equipment status. It is combined with a communication module to realize data transmission and sharing, which is convenient for remote monitoring and operation, and overall improves the intelligence level of the verification system and improves the verification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a system block diagram of the present invention; Figure 2 The figure is a flow chart of the verification method of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example: Please see attached Figure 1 , an embodiment of the present invention provides an intelligent high-voltage load equipment calibration system, including a main control unit, which adopts a multi-core processor with high-speed data processing and intelligent control functions for coordinated operation of various parts of the system and comprehensive data analysis. During the operation of the system, the main control unit monitors the working status of the high-voltage load simulation unit, the data acquisition unit, the data analysis unit and the human-computer interaction unit in real time, reasonably allocates computing resources, and performs rapid comprehensive analysis on the collected data, providing core support for the stable operation of the entire calibration system; The high-voltage load simulation unit is used to accurately generate a variety of high-voltage load conditions, covering different load characteristics and a wide range of parameters. The load parameters can be adjusted accurately and quickly. The high-voltage load simulation unit includes a dynamic load simulation module, which is used to simulate the dynamic load changes in the actual operation of the high-voltage load equipment and truly restore complex working conditions. When simulating the starting process of the high-voltage motor in the power system, it can accurately reproduce the dynamic characteristics of the current impact, speed change and load torque fluctuation at the moment of the motor starting, and truly restore complex working conditions. The verification system can comprehensively test the performance of the high-voltage load equipment under different dynamic load conditions in a laboratory environment; The load adaptive adjustment module automatically adjusts the load parameters to ensure that the simulated load is highly matched with the actual working load, thereby improving the accuracy of the calibration. When the current of the actual load device is detected to have changed, the load adaptive adjustment module will quickly calculate the load resistance value or inductance value that needs to be adjusted and automatically adjust it, so that the simulated load can track the changes of the actual load in real time, thereby greatly improving the accuracy of the calibration. When calibrating a high-voltage transformer, the module can automatically adjust the power factor of the load according to the changes in the output voltage and current of the transformer, so that it matches the actual working load power factor of the transformer, thereby ensuring the reliability of the calibration results; The multifunctional load combination module is composed of a variety of flexibly configured load elements. It can be quickly combined into different load models according to different verification requirements to meet the verification requirements of various types of high-voltage load equipment. For different types of high-voltage circuit breaker verification, it can simulate the working conditions of the circuit breaker under different load currents, short-circuit currents and opening and closing times by combining resistors, inductors and capacitors with different resistance values. When verifying the high-voltage capacitor bank, it can quickly combine a suitable load model according to the rated capacity and operating voltage of the capacitor bank to test the performance and stability of the capacitor bank under different working conditions.

[0018] The data acquisition unit is equipped with multiple types of sensors for real-time acquisition of electrical and non-electrical parameters of high-voltage load equipment during operation. The data acquisition unit includes: The multi-parameter integrated sensor array integrates high-precision sensors for voltage, current, power, temperature, humidity and vibration to achieve multi-parameter synchronous acquisition. When calibrating the high-voltage switchgear, the voltage sensor can accurately measure the real-time value of each phase voltage in the switchgear, the current sensor simultaneously collects the current data of each circuit, the power sensor calculates the real-time power, the temperature sensor monitors the temperature of key components in the switchgear, the humidity sensor detects the ambient humidity, and the vibration sensor detects the mechanical vibration of the equipment. Through the synchronous acquisition of these multiple parameters, the operating status of the high-voltage switchgear can be fully understood; The synchronous data acquisition circuit module uses clock synchronization technology to ensure high-speed synchronization of data acquisition and effectively capture transient information. During the inverter acceleration process, it can accurately record the instantaneous changes of parameters such as voltage, current, and temperature, providing accurate basic data for subsequent data analysis. The data calibration and compensation module is used to correct the sensor error and compensate the data according to environmental factors to ensure the accuracy and stability of the data. In an environment with large temperature changes, the measured value of the sensor may be affected. The data calibration and compensation module will correct the temperature data measured by the sensor according to the pre-calibrated temperature coefficient. At the same time, it will consider the influence of environmental factors such as humidity on other parameters and perform corresponding compensation calculations to ensure the accuracy and stability of the data. When calibrating the high-voltage generator, even if the ambient temperature changes from 20°C to 30°C, the module can ensure the accuracy of the collected voltage, current and other data, and the error is controlled within a very small range; The data analysis unit is used to conduct in-depth analysis of the collected data, evaluate equipment performance and predict potential failures. The data analysis unit includes: The deep learning fault diagnosis module uses deep neural networks to learn a large amount of historical data, and can accurately identify the fault type, location and severity of high-voltage load equipment. When the fault type of the equipment is detected and the fault location is clear, the performance of the equipment is judged according to the pre-set level threshold. For high-voltage motors, if abnormal vibration and current fluctuations occur, the module can analyze the vibration frequency, amplitude and current change characteristics, combined with the learning results of the deep neural network, to accurately determine whether it is a bearing fault and the specific location of the fault, such as the inner ring, outer ring or ball of the bearing, and evaluate the severity of the fault according to the preset level threshold, providing an important basis for subsequent maintenance decisions; The performance evaluation and prediction module is used to quantitatively evaluate the performance of the equipment and predict the future performance trend of the equipment based on historical data and real-time status. It obtains the quantitative evaluation value of the current performance of the equipment and compares it with the preset performance qualification standard value to judge the performance of the equipment. For high-voltage transformers, by analyzing the historical data of its voltage ratio, no-load loss, load loss and other parameters, and combining the real-time collected voltage, current, temperature and other data, the current performance index value of the transformer is calculated and compared with the preset performance qualification standard value to judge whether the equipment performance is qualified. At the same time, by analyzing the operating data of the transformer in the past year, its performance change trend in the next three months is predicted, and potential performance degradation problems are discovered in advance to provide support for preventive maintenance; The human-machine interaction unit is convenient for users to set parameters, operate and control, and view verification results and analysis reports. The human-machine interaction unit includes: Graphical operation interface, users can complete the calibration task setting, system control and data query functions by touch operation. When calibrating the high-voltage distribution cabinet, operators can intuitively select calibration items, set load parameters, start and stop the calibration process, etc. on the graphical operation interface. The interface design is concise and the operation process is clear, so even non-professional technicians can quickly get started; Real-time data visualization module is used to intuitively display the collected data and analysis results in the form of charts, curves and three-dimensional graphics. Users can understand the equipment operation status and calibration process in real time. When calibrating high-voltage motors, the real-time data visualization module can display the motor's speed curve, current waveform, temperature change curve and vibration spectrum in real time, allowing users to intuitively observe the operation of the motor under different load conditions and discover abnormal phenomena in time; The data management and report generation module supports the classified storage and query retrieval of calibration data, and can automatically generate detailed calibration reports. For each calibration of high-voltage load equipment, the system will store the collected data, analysis results, diagnostic suggestions and other information in the database according to equipment model, calibration date and other categories. Users can query historical calibration data at any time and generate calibration reports as needed. The report format can be customized, including text descriptions, chart displays and other content, and supports multiple output methods, such as printing, exporting to electronic documents, etc., to facilitate users to manage equipment and save maintenance records.

[0019] The system supports Ethernet, Bluetooth and Wi-Fi communication protocols, and realizes data communication with external devices or remote terminals. Through Ethernet connection, the calibration system can be connected to the factory's local area network to achieve centralized monitoring and management of multiple devices. Using Bluetooth communication, technicians can use mobile devices on site to wirelessly connect to the calibration system, which is convenient for parameter setting and data viewing. Through Wi-Fi communication, the system can transmit calibration data in real time to cloud servers and other data analysis platforms to realize data sharing and collaborative processing.

[0020] Please see attached Figure 2 , a method for verifying an intelligent high-voltage load device, comprising the following steps: S1. Verification preparation: Connect the high-voltage load equipment to the verification system, carefully check the connection lines of the equipment to ensure that the connection is firm and there is no short circuit or open circuit problem, check the equipment status, check whether the high-voltage load equipment is in a normal shutdown state, and whether there is any abnormal alarm information. At the same time, check whether each module of the verification system is started normally, whether the sensor is working normally, and whether the communication connection of the main control unit is normal. After starting the system, set the verification parameters through the graphical operation interface of the human-computer interaction unit. Set the load parameters, verification time and sampling frequency parameters according to different high-voltage load equipment and verification requirements; S2. Load simulation and data acquisition: According to the verification task, the high-voltage load simulation unit generates the corresponding high-voltage load conditions. For the verification of high-voltage circuit breakers, it simulates different load conditions such as short-circuit current and overload current to test the breaking capacity and protection performance of the circuit breaker under different fault currents. Through the coordinated work of the dynamic load simulation module and the multi-functional load combination module, the required load current waveform and power characteristics are accurately generated. The data acquisition unit collects equipment operation data in real time. During the load simulation process, the multi-parameter integrated sensor array synchronously collects the electrical parameters and non-electrical parameters of the high-voltage load equipment. The synchronous data acquisition circuit module ensures high-speed synchronous data acquisition and accurately records the instantaneous changes of the equipment under different load conditions. S3. Data analysis and evaluation: The data analysis unit analyzes and processes the collected data. The deep learning fault diagnosis module first performs fault detection on the data. By comparing and analyzing with the pre-trained deep neural network model, it identifies whether there is a fault and the type, location and severity of the fault. If it is detected that the winding temperature of the high-voltage transformer is abnormally increased and accompanied by an increase in current harmonics, the module can determine that it may be a transformer winding short-circuit fault and determine the specific location of the winding where the fault occurs; the performance evaluation and prediction module quantitatively evaluates the performance of the equipment. According to the collected data and historical data, the data analysis algorithm is used to calculate the various performance indicators of the equipment, and compared with the preset performance qualified standard value to determine whether the equipment performance is qualified. At the same time, based on historical data and real-time status, the future performance trend of the equipment is predicted. By evaluating the efficiency, power factor, speed stability and other indicators of the high-voltage motor, it is determined whether the performance of the motor meets the requirements and predicts its performance change trend in the future, so that maintenance measures can be taken in time. The equipment is identified as qualified if there is no fault, the performance indicators meet the preset and the performance change trend is stable, otherwise it is unqualified; S4. Result output and processing: The verification results and performance evaluation report are displayed through the human-computer interaction unit. The verification results of the equipment are displayed in an intuitive way on the graphical operation interface, including the judgment of whether it is qualified, the values ​​of various performance indicators and fault diagnosis information. The real-time data visualization module displays the equipment operation data and analysis results in the form of charts, curves, etc., so that users can understand the operation status and verification process of the equipment more clearly. For the verification results of the high-voltage switchgear, the interface displays whether the current and voltage of each circuit are normal, whether the switch action is accurate, and whether there is a potential fault risk. The temperature change curve and humidity change of the switchgear during the verification process are displayed in the form of a chart; if the equipment performance is unqualified, troubleshoot and repair it according to the diagnostic suggestions. The user troubleshoots the high-voltage load equipment according to the diagnostic suggestions displayed by the human-computer interaction unit. After repair, re-calibrate to ensure that the equipment performance is restored to a qualified state. Through this closed-loop verification method, the reliability and stability of high-voltage load equipment are continuously improved, providing a strong guarantee for the safe operation of high-voltage equipment such as power systems.

[0021] Through the above embodiments, the intelligent high-voltage load equipment calibration system can effectively realize comprehensive calibration, fault diagnosis and performance evaluation of high-voltage load equipment, improve the efficiency and accuracy of equipment maintenance, reduce equipment failure rate, and ensure the safe and stable operation of high-voltage load equipment. In actual applications, users can flexibly use the various functions of this system according to the specific type of high-voltage load equipment and calibration requirements to ensure that the equipment is always in good operating condition, providing reliable support for the production and operation of related industries.

[0022] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent high-voltage load equipment calibration system, characterized in that: It includes a main control unit, which uses a multi-core processor with high-speed data processing and intelligent control functions for the coordinated operation of various parts of the system and comprehensive data analysis; High-voltage load simulation unit, used to accurately generate a variety of high-voltage load conditions, covering different load characteristics and a wide range of parameters, and the load parameters can be adjusted accurately and quickly; Data acquisition unit, equipped with multiple types of sensors, used to collect electrical and non-electrical parameters of high-voltage load equipment in real time; Data analysis unit, used to conduct in-depth analysis of collected data, evaluate equipment performance and predict potential failures; The human-computer interaction unit facilitates users to set parameters, operate and control, and view calibration results and analysis reports.

2. According to claim 1, a smart high-voltage load equipment calibration system is characterized in that: The high voltage load simulation unit comprises: Dynamic load simulation module, used to simulate the dynamic load changes in the actual operation of high-voltage load equipment and truly restore complex working conditions; The load adaptive adjustment module automatically adjusts the load parameters to ensure that the simulated load is highly matched with the actual workload, thus improving the accuracy of the calibration. The multifunctional load combination module is composed of a variety of flexibly configured load elements. It can be quickly combined into different load models according to different calibration requirements to meet the calibration requirements of various high-voltage load equipment.

3. The intelligent high-voltage load equipment calibration system according to claim 1 is characterized in that: The data acquisition unit comprises: Multi-parameter integrated sensor array, integrating high-precision sensors for voltage, current, power, temperature, humidity and vibration, to achieve multi-parameter synchronous acquisition; Synchronous data acquisition circuit module uses clock synchronization technology to ensure high-speed synchronization of data acquisition and effectively capture transient information; The data calibration and compensation module is used to correct sensor errors and compensate data according to environmental factors to ensure data accuracy and stability.

4. The intelligent high-voltage load equipment calibration system according to claim 1, characterized in that: The data analysis unit comprises: The deep learning fault diagnosis module uses deep neural networks to learn a large amount of historical data, which can accurately identify the fault type, location and severity of high-voltage load equipment. When the fault type of the equipment is detected and the fault location is clear, the performance of the equipment is judged according to the pre-set level threshold; The performance evaluation and prediction module is used to quantitatively evaluate the performance of the equipment and predict the future performance trend of the equipment based on historical data and real-time status. It obtains the quantitative evaluation value of the current performance of the equipment and compares it with the preset performance qualification standard value to judge the performance of the equipment.

5. The intelligent high-voltage load equipment calibration system according to claim 1, characterized in that: The human-computer interaction unit comprises: Graphical operation interface, users can complete calibration task settings, system control and data query functions through touch operation; Real-time data visualization module, which is used to intuitively display the collected data and analysis results in the form of charts, curves and 3D graphics, so that users can understand the equipment operation status and verification process in real time; The data management and report generation module supports the classified storage and query retrieval of verification data, and can automatically generate detailed verification reports.

6. The intelligent high-voltage load equipment calibration system according to claim 1, characterized in that: The system also includes a communication module and data transmission and sharing functions, supporting Ethernet, Bluetooth and Wi-Fi communication protocols, realizing data communication between the system and external devices or remote terminals, and facilitating remote monitoring and operation; the data transmission and sharing function can transmit the verification data to the cloud server and other data analysis platforms in real time, realizing data sharing and collaborative processing, and providing support for remote diagnosis and maintenance of equipment.

7. A method for calibrating an intelligent high-voltage load device, using an intelligent high-voltage load device calibration system as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: S1. Verification preparation: Connect the high-voltage load equipment to the verification system, check the equipment status and wiring, turn on the system and set the verification parameters through the human-computer interaction unit; S2. Load simulation and data acquisition: According to the verification task, the high-voltage load simulation unit generates the corresponding high-voltage load condition, and the data acquisition unit collects equipment operation data in real time; S3. Data analysis and evaluation: The data analysis unit analyzes and processes the collected data, uses built-in modules to evaluate the performance of the equipment, and determines whether it is qualified; S4. Result output and processing: The verification results and performance evaluation report are displayed through the human-computer interaction unit. If the equipment performance is unqualified, troubleshoot and repair are carried out according to the diagnostic suggestions, and re-calibrate after repair.

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