Monitoring equipment for fault detection and diagnosis of distributed photovoltaic system and operation method thereof

Abstract

The invention discloses a distributed photovoltaic system fault detection and diagnosis method and monitoring equipment. The monitoring equipment comprises a data acquisition unit, a central processing unit, a data storage unit, a data communication unit, a user interface and a power management unit. According to the technical scheme provided by the embodiment of the invention, the data of the distributed photovoltaic system can be collected in real time, and data processing and intelligent diagnosis are directly carried out on equipment, so that the operation pressure of a system detection center is reduced, and the fault detection and diagnosis of the photovoltaic system can still be carried out when a communication system signal is poor or a fault occurs; therefore, the reliability, the real-time performance and the maintenance efficiency of the system are improved.

Description

Technical Field

[0001] The present invention relates to a distributed photovoltaic power generation system, and in particular to a monitoring device for fault detection and diagnosis of a distributed photovoltaic system and an operating method thereof. Background Art

[0002] With the rapid development of renewable energy, distributed photovoltaic systems have gradually become an important part of energy production due to their flexibility and environmental friendliness. However, photovoltaic systems may experience a variety of faults during operation, resulting in energy loss and reduced system efficiency. Therefore, in order to ensure that photovoltaic power generation devices can operate reliably and safely, it is increasingly important to perform fault detection and diagnosis on distributed photovoltaic systems.

[0003] When performing fault detection and diagnosis in existing distributed photovoltaic systems, the data collected by sensors needs to be uploaded to the system diagnosis center for analysis and diagnosis. However, with the rapid growth of photovoltaic power generation installed capacity, the amount of photovoltaic system data collected has become larger and more complex, and the burden on the system diagnosis center has become increasingly heavy, reducing the real-time response to faults in distributed photovoltaic systems.

[0004] At present, data is often transmitted using wireless networks. When the communication system is disconnected from the system detection center due to poor signals or failures, data information cannot be transmitted to the system detection center, resulting in the inability to process photovoltaic data in a timely manner and the inability to detect and diagnose faults. Summary of the invention

[0005] The present invention proposes a monitoring device for distributed photovoltaic system fault detection and diagnosis and an operation method thereof. The device can collect distributed photovoltaic system data in real time, and directly perform data processing and intelligent diagnosis on the device to reduce the computing pressure of the system detection center and realize photovoltaic system fault detection and diagnosis when the communication system signal is poor or fails, thereby improving the reliability, real-time nature and maintenance efficiency of the system.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a monitoring device for fault detection and diagnosis of a distributed photovoltaic system, comprising a data acquisition unit, a central processing unit, a data storage unit, a data communication unit, a user interface and a power management unit, wherein the monitoring device can independently perform fault diagnosis on the photovoltaic power generation equipment side, and when the monitoring device is disconnected from the communication with the system diagnosis center, the monitoring device can still perform fault diagnosis normally; the central processing unit is a microprocessor equipped with a Linux operating system, and the microprocessor comprises a data preprocessing module and a data analysis engine, wherein the data preprocessing module is used to clean, reduce noise and standardize information data of the photovoltaic system; the data analysis engine is used to execute a pre-installed fault diagnosis algorithm to determine the operating status of the photovoltaic system; when the communication unit of the monitoring device is working normally, the fault diagnosis algorithm can be updated online.

[0008] Furthermore, the data acquisition unit is used to collect information data of the distributed photovoltaic system in real time, including: current and voltage parameters generated by the photovoltaic system, surface temperature of the photovoltaic panel, light intensity received by the photovoltaic module, temperature, humidity and wind speed of the surrounding environment of the photovoltaic module; the data storage unit is used to store processed data and diagnostic analysis results.

[0009] Furthermore, the data communication unit is used to transmit data to a system diagnosis center or a user when the signal is good.

[0010] Furthermore, the user interface is used to display the collected data and the results of fault detection and diagnosis, and provides an interactive interface for system operation by using a control panel to facilitate the user to input operating instructions and system configuration.

[0011] Furthermore, the power management unit is used to convert the external power supply into the voltage and current required by the internal circuit.

[0012] Furthermore, the data communication unit includes: a wireless communication module, the wireless communication module is one or more of the following communication methods, including: Wi-Fi, Bluetooth or 4G; a wired communication port, the wired communication port is one or more of the following communication methods, including: Ethernet interface, RS485 or CAN bus port.

[0013] Furthermore, the central processing unit and the data storage unit are connected via a SPI high-speed data bus.

[0014] In a second aspect, the present invention provides an operating method of a monitoring device for distributed photovoltaic system fault detection and diagnosis, specifically comprising the following steps:

[0015] S11, collecting information data of the distributed photovoltaic system in real time through a data acquisition unit;

[0016] S12, preprocessing the collected data using a data preprocessing module of the monitoring device;

[0017] S13, using the data analysis engine of the monitoring device to analyze the pre-processed data to identify the fault;

[0018] S14, using the data storage unit of the monitoring device to store the processed data and the diagnostic analysis results;

[0019] S15, sending the collected data, fault related information and fault diagnosis results to the system diagnosis center through the communication unit;

[0020] S16. Display the fault diagnosis results on the user interface and provide fault handling suggestions.

[0021] The present invention has the following beneficial effects:

[0022] 1. The present invention provides a monitoring device for fault detection and diagnosis of a distributed photovoltaic system, which pre-processes the collected real-time data, reduces the computational burden of the system monitoring center, and improves the real-time and accuracy of fault detection and diagnosis of the distributed photovoltaic system.

[0023] 2. The present invention provides a monitoring device for fault detection and diagnosis of a distributed photovoltaic system, which reduces the dependence on the system monitoring center. When the device communication is disconnected from the system monitoring center, it can still independently judge the operating status of the distributed photovoltaic system, thereby improving the stability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a structural block diagram of a monitoring device for distributed photovoltaic system fault detection and diagnosis provided according to Example 1 of the present application.

[0025] Figure 2 The present invention provides a composition structure of a central processing unit of a monitoring device for fault detection and diagnosis of a distributed photovoltaic system provided in accordance with the first embodiment of the present application.

[0026] Figure 3 The present invention provides a composition structure of a data communication unit of a monitoring device for fault detection and diagnosis of a distributed photovoltaic system according to the first embodiment of the present application.

[0027] Figure 4 The present invention is a flowchart of a method for fault detection and diagnosis of a distributed photovoltaic system provided according to the second embodiment of the present application. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0029] Embodiment 1:

[0030] like Figure 1-3 As shown, it is a structural block diagram of a monitoring device 100 for distributed photovoltaic system fault detection and diagnosis provided according to the first embodiment of the present application, the device includes a data acquisition unit 110, a central processing unit 120, a data storage unit 130, a data communication unit 140, a user interface 150, and a power management unit 160. The monitoring device 100 can independently perform fault diagnosis on the photovoltaic power generation equipment side. When the monitoring device 100 is disconnected from the system diagnosis center, the device can still perform fault diagnosis normally; the central processing unit 120 is a microprocessor equipped with a Linux operating system, and the microprocessor includes: a data preprocessing module 121, which is used to clean, reduce noise and standardize the information data of the photovoltaic system; a data analysis engine 122, which is used to execute a pre-installed fault diagnosis algorithm to determine the operating status of the photovoltaic system; the monitoring device 100 can update the fault diagnosis algorithm online when the communication unit is working normally.

[0031] The data acquisition unit 110 is used to collect information data of the distributed photovoltaic system in real time, including: current and voltage parameters generated by the photovoltaic system, surface temperature of the photovoltaic panel, light intensity received by the photovoltaic module, temperature, humidity and wind speed of the surrounding environment of the photovoltaic module; the data storage unit 130 is used to store processed data and diagnostic analysis results; the data communication unit 140 is used to transmit data to the system diagnosis center or user when the signal is good; the user interface 150 is used to display the collected data and the results of fault detection and diagnosis, and provides a control panel for the user to input operating instructions and system configuration for the interactive interface of system operation; the power management unit 160 is used to convert the external power supply into the voltage and current required by the internal circuit.

[0032] The data communication unit 140 includes: a wireless communication module 141, which is one or more of the following communication methods, including: Wi-Fi, Bluetooth or 4G; a wired communication port 142, which is one or more of the following communication methods, including: Ethernet interface, RS485 or CAN bus port.

[0033] The central processing unit 120 and the data storage unit 130 are connected via a SPI high-speed data bus.

[0034] Embodiment 2:

[0035] like Figure 2-4 FIG. 1 is a flow chart of the steps of a distributed photovoltaic system fault detection and diagnosis method provided in accordance with Embodiment 2 of the present application. The method flow is as follows:

[0036] S11, collecting information data of the distributed photovoltaic system in real time through the data acquisition unit 110;

[0037] S12, preprocessing the collected data using a data preprocessing module of the monitoring device;

[0038] S13, using the data analysis engine of the monitoring device to analyze the pre-processed data to identify the fault;

[0039] S14, using the data storage unit of the monitoring device to store the processed data and the diagnostic analysis results;

[0040] S15, sending the fault information and diagnosis results to the central monitoring system through the communication unit;

[0041] S16. Display the fault diagnosis results on the user interface and provide fault handling suggestions.

[0042] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A monitoring device for fault detection and diagnosis of a distributed photovoltaic system, characterized in that: It includes a data acquisition unit, a central processing unit, a data storage unit, a data communication unit, a user interface and a power management unit. The monitoring device can independently perform fault diagnosis on the photovoltaic power generation equipment side. When the monitoring device is disconnected from the system diagnosis center, the monitoring device can still perform fault diagnosis normally. The central processing unit is a microprocessor equipped with a Linux operating system. The microprocessor includes a data preprocessing module and a data analysis engine. The data preprocessing module is used to clean, reduce noise and standardize the information data of the photovoltaic system. The data analysis engine is used to execute a pre-installed fault diagnosis algorithm to determine the operating status of the photovoltaic system. When the communication unit of the monitoring device is working normally, the fault diagnosis algorithm can be updated online.

2. A distributed photovoltaic system fault detection and diagnosis monitoring device according to claim 1, characterized in that: The data acquisition unit is used to collect information data of the distributed photovoltaic system in real time, including: current and voltage parameters generated by the photovoltaic system, surface temperature of the photovoltaic panel, light intensity received by the photovoltaic module, temperature, humidity and wind speed of the surrounding environment of the photovoltaic module; the data storage unit is used to store processed data and diagnostic analysis results.

3. A distributed photovoltaic system fault detection and diagnosis monitoring device according to claim 1, characterized in that: The data communication unit is used to transmit data to the system diagnosis center or the user when the signal is good.

4. A distributed photovoltaic system fault detection and diagnosis monitoring device according to claim 1, characterized in that: The user interface is used to display the collected data and the results of fault detection and diagnosis, and provides an interactive interface for system operation by using a control panel to facilitate the user to input operating instructions and system configuration.

5. A distributed photovoltaic system fault detection and diagnosis monitoring device according to claim 1, characterized in that: The power management unit is used to convert the external power supply into the voltage and current required by the internal circuit.

6. A monitoring device for fault detection and diagnosis of a distributed photovoltaic system according to claim 1, characterized in that: The data communication unit includes: a wireless communication module, which is one or more of the following communication methods, including: Wi-Fi, Bluetooth or 4G; a wired communication port, which is one or more of the following communication methods, including: Ethernet interface, RS485 or CAN bus port.

7. A distributed photovoltaic system fault detection and diagnosis monitoring device according to claim 1, characterized in that: The central processing unit and the data storage unit are connected via a SPI high-speed data bus.

8. An operating method of a monitoring device for distributed photovoltaic system fault detection and diagnosis as claimed in claim 1, characterized in that: The specific steps include: S11, collecting information data of the distributed photovoltaic system in real time through a data acquisition unit; S12, preprocessing the collected data using a data preprocessing module of the monitoring device; S13, using the data analysis engine of the monitoring device to analyze the pre-processed data to identify the fault; S14, using the data storage unit of the monitoring device to store the processed data and the diagnostic analysis results; S15, sending the collected data, fault related information and fault diagnosis results to the system diagnosis center through the communication unit; S16. Display the fault diagnosis results on the user interface and provide fault handling suggestions.

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