Electric energy quality on-line monitoring system

Abstract

The invention relates to the technical field of electric energy quality monitoring, in particular to an electric energy quality online monitoring system which comprises a data acquisition module, a data processing module, a data transmission module and a data storage module. Wherein the data acquisition module is used for acquiring voltage, current, frequency, power and other electric energy quality parameters of an electric power system in real time; the data processing module is used for carrying out filtering, analog-to-digital conversion and calculation processing on the collected electric energy quality parameters to obtain electric energy quality indexes such as a voltage effective value, a current effective value, instantaneous power, average power, frequency deviation, voltage deviation, power grid harmonic waves and three-phase unbalance degree; the system has the advantages of being high in real-time performance, comprehensive, accurate, efficient, reliable, capable of achieving remote monitoring and the like, and a powerful guarantee is provided for stable operation of an electric power system and improvement of the electric energy quality.

Description

Technical Field

[0001] The present invention relates to the technical field of power quality monitoring, and in particular to an online power quality monitoring system. Background Art

[0002] With the rapid development of the power industry, the requirements for power quality are getting higher and higher. Traditional power quality monitoring methods often have problems such as incomplete monitoring data, poor real-time performance, and low processing efficiency, which cannot meet the needs of modern power systems. Therefore, it is particularly important to develop a system that can monitor power quality in real time, comprehensively, and accurately. Summary of the invention

[0003] The purpose of the present invention is to provide an online monitoring system for power quality, which is used to solve the problems raised in the background technology and is convenient for promotion.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] An online power quality monitoring system mainly includes the following components and features:

[0006] a. Data acquisition module: It is set inside the ophthalmometer and is used to automatically adjust the axial position of the optical system to ensure accurate focusing;

[0007] b. Data processing module: installed on the focusing device, used to monitor the axial position of the optical system in real time and feed back the position data to the control unit;

[0008] c. Data transmission module: used to receive data fed back by the position sensor and automatically adjust the drive of the electric motor according to the data to achieve accurate focusing. The control unit can also adjust the focusing speed and accuracy according to actual needs;

[0009] d. Data storage module: provides users with an interface for operation and setting, allowing users to adjust the parameters of the focus system and view the real-time focus status and results.

[0010] Furthermore, the data acquisition module includes the following components and features:

[0011] a. Voltage acquisition unit: used to collect voltage data in the power system in real time. Through voltage transformers or similar sensor devices, the high voltage in the power system is converted into a low voltage signal for subsequent processing and analysis. The voltage acquisition unit can accurately measure the key parameters of voltage amplitude and phase, providing an important basis for power quality assessment;

[0012] b. Current acquisition unit: used to collect current data in the power system in real time. It converts the large current in the power system into a small current signal through a current transformer. The current acquisition unit can accurately measure the amplitude and phase parameters of the current, which helps to analyze the load condition and power quality condition of the power system;

[0013] c. Frequency acquisition unit: Frequency is an important indicator of power quality. The frequency acquisition unit is used to measure the frequency data of the power system in real time. By measuring the period of the voltage or current signal, the frequency value of the power system is calculated;

[0014] d. Power acquisition unit: The power acquisition unit is used to measure the power data of the power system in real time, including active power and reactive power. The power value of the power system is obtained by integrating or instantaneously calculating the product of voltage and current signals.

[0015] Furthermore, the data processing module includes the following components and features:

[0016] a. Filtering unit: The main function of the filtering unit is to filter the collected original power quality parameters to eliminate noise and interference signals, which can effectively improve the accuracy and reliability of the data. The filtering unit can use a digital filter or an analog filter;

[0017] b. Analog-to-digital conversion unit: The analog-to-digital conversion unit is responsible for converting the filtered analog power quality parameters into digital signals for subsequent digital signal processing. The high-precision and high-sampling-rate analog-to-digital converter can ensure that the collected data has higher resolution and more accurate time domain information;

[0018] c. Calculation and processing unit: The calculation and processing unit is the core part of the data processing module. It is responsible for calculating and processing the digital power quality parameters according to the predetermined algorithms and formulas. The calculation and processing unit is implemented by a digital signal processing (DSP) chip, a microprocessor (MCU) or a field programmable gate array (FPGA) hardware platform. By writing software programs, it can realize real-time calculation and analysis of power quality parameters and obtain various power quality indicators;

[0019] d. Data storage and management unit: Although this part is usually regarded as part of the data storage module, in the data processing module, the data storage and management unit is responsible for storing and managing the power quality data generated by the computing processing unit, which can be used for subsequent power quality analysis, fault diagnosis and prediction applications. The data storage and management unit can be implemented using large-capacity storage including hard disk, solid-state drive or flash memory, and equipped with a data management system to ensure data security and reliability.

[0020] Furthermore, the data transmission module includes the following components and features:

[0021] a. Communication interface: The data transmission module is connected to the data processing module or external device through a communication interface. The types of communication interfaces include wired interfaces and wireless interfaces;

[0022] b. Communication protocol: The data transmission module needs to follow specific communication protocols to ensure the correct transmission and parsing of data, including TCP / IP, UDP, Modbus and OPC UA;

[0023] c. Data transmission control unit: responsible for managing and controlling the data transmission process, setting the data transmission priority, rate and data packet size parameters according to actual needs, and realizing data encryption and compression processing to improve the security and efficiency of data transmission;

[0024] d. Error detection and recovery mechanism: includes error detection and recovery mechanism to ensure data integrity and accuracy. Error detection methods include checksum and cyclic redundancy check (CRC). Recovery mechanism includes retransmission request, data buffering and error logging.

[0025] e. Power management unit: The power management unit is responsible for providing a stable power supply and managing power consumption. It extends the service life of the data transmission module and reduces energy consumption through low-power design and battery management technology;

[0026] f. Hardware and software integration: The data transmission module needs to integrate and debug the hardware components and software programs. The integration process needs to ensure the compatibility and stability between the components to achieve efficient and reliable data transmission.

[0027] Furthermore, the data storage module includes the following components and features:

[0028] a. Database Management System: Database Management System (DBMS) is the core of the data storage module. It is responsible for the storage, retrieval, update and management of data, including relational databases or non-relational databases, providing key functions of data integrity, security and concurrency control to ensure the accuracy and reliability of data;

[0029] b. Data storage media: Data storage media are physical devices or cloud storage services that actually store data, including hard disk drives (HDDs), solid-state drives (SSDs), network-attached storage (NAS), and cloud storage;

[0030] c. Data backup and recovery mechanism: The data storage module needs to include a data backup and recovery mechanism to prevent data loss or damage. Data backup can be performed regularly or in real time. The backup data can be stored locally or remotely. The data recovery mechanism needs to ensure that data can be quickly restored in the event of data loss or damage to reduce the impact on the system.

[0031] d. Data access control: The data storage module needs to implement data access control to ensure that only authorized users can access and modify data. Data access control is implemented through user identity authentication, permission management and data encryption technology;

[0032] e. Data integration and processing: The data storage module includes data integration and processing functions, which are used to integrate and clean data from different data sources. Data integration ensures the consistency and integrity of data, while data cleaning can remove duplicate, erroneous or invalid data, improve the quality and availability of data, and provide strong support for subsequent data analysis and decision-making;

[0033] f. Performance monitoring and optimization: The data storage module needs to include performance monitoring and optimization functions to ensure the stability and efficiency of the system. Performance monitoring tracks the database load, response time and throughput in real time. Based on the monitoring results, the database can be optimized, including adjusting indexes, optimizing query statements and increasing cache.

[0034] As an improvement, the beneficial effects of the present invention are:

[0035] 1. Strong real-time performance: It can collect, transmit and process power quality data in real time and detect power quality problems in time.

[0036] 2. Comprehensive and accurate: It can comprehensively collect various power quality parameters of the power system and conduct accurate analysis and processing.

[0037] 3. Efficient and reliable: The use of advanced digital signal processing algorithms and large-capacity storage devices improves data processing efficiency and data reliability.

[0038] 4. Remote monitoring: Through wireless or wired communication, power quality data can be viewed remotely to facilitate timely discovery and resolution of problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the overall structure of an online power quality monitoring system of the present invention;

[0040] Figure 2 It is a structural schematic diagram of a data acquisition module of an online power quality monitoring system of the present invention;

[0041] Figure 3 It is a structural schematic diagram of a data processing module of an online power quality monitoring system of the present invention;

[0042] Figure 4 A schematic diagram of the structure of a data transmission module of an online power quality monitoring system of the present invention;

[0043] Figure 5 It is a structural schematic diagram of a data storage module of an online power quality monitoring system of the present invention; DETAILED DESCRIPTION

[0044] In order to make the contents of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0045] An online power quality monitoring system mainly includes the following components and features:

[0046] a. Data acquisition module: It is set inside the ophthalmometer and is used to automatically adjust the axial position of the optical system to ensure accurate focusing;

[0047] b. Data processing module: installed on the focusing device, used to monitor the axial position of the optical system in real time and feed back the position data to the control unit;

[0048] c. Data transmission module: used to receive data fed back by the position sensor and automatically adjust the drive of the electric motor according to the data to achieve accurate focusing. The control unit can also adjust the focusing speed and accuracy according to actual needs;

[0049] d. Data storage module: provides users with an interface for operation and setting, allowing users to adjust the parameters of the focus system and view the real-time focus status and results.

[0050] In this embodiment, the data acquisition module includes the following components and features:

[0051] a. Voltage acquisition unit: used to collect voltage data in the power system in real time. Through voltage transformers or similar sensor devices, the high voltage in the power system is converted into a low voltage signal for subsequent processing and analysis. The voltage acquisition unit can accurately measure the key parameters of voltage amplitude and phase, providing an important basis for power quality assessment;

[0052] b. Current acquisition unit: used to collect current data in the power system in real time. It converts the large current in the power system into a small current signal through a current transformer. The current acquisition unit can accurately measure the amplitude and phase parameters of the current, which helps to analyze the load condition and power quality condition of the power system;

[0053] c. Frequency acquisition unit: Frequency is an important indicator of power quality. The frequency acquisition unit is used to measure the frequency data of the power system in real time. By measuring the period of the voltage or current signal, the frequency value of the power system is calculated;

[0054] d. Power acquisition unit: The power acquisition unit is used to measure the power data of the power system in real time, including active power and reactive power. The power value of the power system is obtained by integrating or instantaneously calculating the product of voltage and current signals.

[0055] Through the above technical solution, multiple collection units are used to collect power quality parameters such as voltage, current, frequency, and power of the power system in real time, providing basic data support for subsequent power quality evaluation and analysis.

[0056] In this embodiment, the data processing module includes the following components and features:

[0057] a. Filtering unit: The main function of the filtering unit is to filter the collected original power quality parameters to eliminate noise and interference signals, which can effectively improve the accuracy and reliability of the data. The filtering unit can use a digital filter or an analog filter;

[0058] b. Analog-to-digital conversion unit: The analog-to-digital conversion unit is responsible for converting the filtered analog power quality parameters into digital signals for subsequent digital signal processing. The high-precision and high-sampling-rate analog-to-digital converter can ensure that the collected data has higher resolution and more accurate time domain information;

[0059] c. Calculation and processing unit: The calculation and processing unit is the core part of the data processing module. It is responsible for calculating and processing the digital power quality parameters according to the predetermined algorithms and formulas. The calculation and processing unit is implemented by a digital signal processing (DSP) chip, a microprocessor (MCU) or a field programmable gate array (FPGA) hardware platform. By writing software programs, it can realize real-time calculation and analysis of power quality parameters and obtain various power quality indicators;

[0060] d. Data storage and management unit: Although this part is usually regarded as part of the data storage module, in the data processing module, the data storage and management unit is responsible for storing and managing the power quality data generated by the computing processing unit, which can be used for subsequent power quality analysis, fault diagnosis and prediction applications. The data storage and management unit can be implemented using large-capacity storage including hard disk, solid-state drive or flash memory, and equipped with a data management system to ensure data security and reliability.

[0061] Through the above technical solution, through the coordinated work of the filtering unit, analog-to-digital conversion unit, calculation processing unit and data storage and management unit, the real-time collection, processing and storage of power quality parameters are realized. These processing results can provide strong data support for the stable operation of the power system and the improvement of power quality.

[0062] In this embodiment, the data transmission module includes the following components and features:

[0063] a. Communication interface: The data transmission module is connected to the data processing module or external device through a communication interface. The types of communication interfaces include wired interfaces and wireless interfaces;

[0064] b. Communication protocol: The data transmission module needs to follow specific communication protocols to ensure the correct transmission and parsing of data, including TCP / IP, UDP, Modbus and OPC UA;

[0065] c. Data transmission control unit: responsible for managing and controlling the data transmission process, setting the data transmission priority, rate and data packet size parameters according to actual needs, and realizing data encryption and compression processing to improve the security and efficiency of data transmission;

[0066] d. Error detection and recovery mechanism: includes error detection and recovery mechanism to ensure data integrity and accuracy. Error detection methods include checksum and cyclic redundancy check (CRC). Recovery mechanism includes retransmission request, data buffering and error logging.

[0067] e. Power management unit: The power management unit is responsible for providing a stable power supply and managing power consumption. It extends the service life of the data transmission module and reduces energy consumption through low-power design and battery management technology;

[0068] f. Hardware and software integration: The data transmission module needs to integrate and debug the hardware components and software programs. The integration process needs to ensure the compatibility and stability between the components to achieve efficient and reliable data transmission.

[0069] Through the above technical solutions, the processed power quality data is transmitted to the monitoring center or other designated receiving end in real time and accurately. By selecting the appropriate communication interface, communication protocol, data transmission control unit, error detection and recovery mechanism and other key parts, the efficiency, reliability and security of data transmission can be ensured.

[0070] In this embodiment, the data storage module includes the following components and features:

[0071] a. Database Management System: Database Management System (DBMS) is the core of the data storage module. It is responsible for the storage, retrieval, update and management of data, including relational databases or non-relational databases, providing key functions of data integrity, security and concurrency control to ensure the accuracy and reliability of data;

[0072] b. Data storage media: Data storage media are physical devices or cloud storage services that actually store data, including hard disk drives (HDDs), solid-state drives (SSDs), network-attached storage (NAS), and cloud storage;

[0073] c. Data backup and recovery mechanism: The data storage module needs to include a data backup and recovery mechanism to prevent data loss or damage. Data backup can be performed regularly or in real time. The backup data can be stored locally or remotely. The data recovery mechanism needs to ensure that data can be quickly restored in the event of data loss or damage to reduce the impact on the system.

[0074] d. Data access control: The data storage module needs to implement data access control to ensure that only authorized users can access and modify data. Data access control is implemented through user identity authentication, permission management and data encryption technology;

[0075] e. Data integration and processing: The data storage module includes data integration and processing functions, which are used to integrate and clean data from different data sources. Data integration ensures the consistency and integrity of data, while data cleaning can remove duplicate, erroneous or invalid data, improve the quality and availability of data, and provide strong support for subsequent data analysis and decision-making;

[0076] f. Performance monitoring and optimization: The data storage module needs to include performance monitoring and optimization functions to ensure the stability and efficiency of the system. Performance monitoring tracks the database load, response time and throughput in real time. Based on the monitoring results, the database can be optimized, including adjusting indexes, optimizing query statements and increasing cache.

[0077] Through the above technical solutions, a large amount of power quality data and the processed analysis results can be stored and managed. By selecting the appropriate database management system, storage media, backup and recovery mechanism, data access control, data integration and processing, and performance monitoring and optimization, the efficiency, reliability and security of the data storage module can be ensured.

[0078] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. An online power quality monitoring system, which mainly includes the following components and features: a. Data acquisition module: It is set inside the ophthalmometer and is used to automatically adjust the axial position of the optical system to ensure accurate focusing; b. Data processing module: installed on the focusing device, used to monitor the axial position of the optical system in real time and feed back the position data to the control unit; c. Data transmission module: used to receive data fed back by the position sensor and automatically adjust the drive of the electric motor according to the data to achieve accurate focusing. The control unit can also adjust the focusing speed and accuracy according to actual needs; d. Data storage module: provides users with an interface for operation and setting, allowing users to adjust the parameters of the focus system and view the real-time focus status and results.

2. The power quality online monitoring system according to claim 1, characterized in that: The data acquisition module includes the following components and features: a. Voltage acquisition unit: used to collect voltage data in the power system in real time. Through voltage transformers or similar sensor devices, the high voltage in the power system is converted into a low voltage signal for subsequent processing and analysis. The voltage acquisition unit can accurately measure the key parameters of voltage amplitude and phase, providing an important basis for power quality assessment; b. Current acquisition unit: used to collect current data in the power system in real time. It converts the large current in the power system into a small current signal through a current transformer. The current acquisition unit can accurately measure the amplitude and phase parameters of the current, which helps to analyze the load condition and power quality condition of the power system; c. Frequency acquisition unit: Frequency is an important indicator of power quality. The frequency acquisition unit is used to measure the frequency data of the power system in real time. By measuring the period of the voltage or current signal, the frequency value of the power system is calculated; d. Power acquisition unit: The power acquisition unit is used to measure the power data of the power system in real time, including active power and reactive power. The power value of the power system is obtained by integrating or instantaneously calculating the product of voltage and current signals.

3. The power quality online monitoring system according to claim 1, characterized in that: The data processing module includes the following components and features: a. Filtering unit: The main function of the filtering unit is to filter the collected original power quality parameters to eliminate noise and interference signals, which can effectively improve the accuracy and reliability of the data. The filtering unit can use a digital filter or an analog filter; b. Analog-to-digital conversion unit: The analog-to-digital conversion unit is responsible for converting the filtered analog power quality parameters into digital signals for subsequent digital signal processing. The high-precision and high-sampling-rate analog-to-digital converter can ensure that the collected data has higher resolution and more accurate time domain information; c. Calculation and processing unit: The calculation and processing unit is the core part of the data processing module. It is responsible for calculating and processing the digital power quality parameters according to the predetermined algorithms and formulas. The calculation and processing unit is implemented by a digital signal processing (DSP) chip, a microprocessor (MCU) or a field programmable gate array (FPGA) hardware platform. By writing software programs, it can realize real-time calculation and analysis of power quality parameters and obtain various power quality indicators; d. Data storage and management unit: Although this part is usually regarded as part of the data storage module, in the data processing module, the data storage and management unit is responsible for storing and managing the power quality data generated by the computing processing unit, which can be used for subsequent power quality analysis, fault diagnosis and prediction applications. The data storage and management unit can be implemented using large-capacity storage including hard disk, solid-state drive or flash memory, and equipped with a data management system to ensure data security and reliability.

4. The power quality online monitoring system according to claim 1, characterized in that: The data transmission module includes the following components and features: a. Communication interface: The data transmission module is connected to the data processing module or external device through a communication interface. The types of communication interfaces include wired interfaces and wireless interfaces; b. Communication protocol: The data transmission module needs to follow specific communication protocols to ensure the correct transmission and parsing of data, including TCP / IP, UDP, Modbus and OPC UA; c. Data transmission control unit: responsible for managing and controlling the data transmission process, setting the data transmission priority, rate and data packet size parameters according to actual needs, and realizing data encryption and compression processing to improve the security and efficiency of data transmission; d. Error detection and recovery mechanism: includes error detection and recovery mechanism to ensure data integrity and accuracy. Error detection methods include checksum and cyclic redundancy check (CRC). Recovery mechanism includes retransmission request, data buffering and error logging. e. Power management unit: The power management unit is responsible for providing a stable power supply and managing power consumption. It extends the service life of the data transmission module and reduces energy consumption through low-power design and battery management technology; f. Hardware and software integration: The data transmission module needs to integrate and debug the hardware components and software programs. The integration process needs to ensure the compatibility and stability between the components to achieve efficient and reliable data transmission.

5. The power quality online monitoring system according to claim 1, characterized in that: The data storage module includes the following components and features: a. Database Management System: Database Management System (DBMS) is the core of the data storage module. It is responsible for the storage, retrieval, update and management of data, including relational database or non-relational database, providing key functions of data integrity, security and concurrency control to ensure the accuracy and reliability of data; b. Data storage media: Data storage media are physical devices or cloud storage services that actually store data, including hard disk drives (HDDs), solid-state drives (SSDs), network-attached storage (NAS), and cloud storage; c. Data backup and recovery mechanism: The data storage module needs to include a data backup and recovery mechanism to prevent data loss or damage. Data backup can be performed regularly or in real time. The backup data can be stored locally or remotely. The data recovery mechanism needs to ensure that data can be quickly restored in the event of data loss or damage to reduce the impact on the system. d. Data access control: The data storage module needs to implement data access control to ensure that only authorized users can access and modify data. Data access control is implemented through user identity authentication, permission management and data encryption technology; e. Data integration and processing: The data storage module includes data integration and processing functions, which are used to integrate and clean data from different data sources. Data integration ensures the consistency and integrity of data, while data cleaning can remove duplicate, erroneous or invalid data, improve the quality and availability of data, and provide strong support for subsequent data analysis and decision-making; f. Performance monitoring and optimization: The data storage module needs to include performance monitoring and optimization functions to ensure the stability and efficiency of the system. Performance monitoring tracks the database load, response time and throughput in real time. Based on the monitoring results, the database can be optimized, including adjusting indexes, optimizing query statements and increasing cache.

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