Method and apparatus for monitoring photovoltaic power generation system, electronic device, and storage medium

Abstract

The present disclosure relates to the technical field of data processing, and discloses a method and apparatus for monitoring a photovoltaic power generation system, an electronic device, and a storage medium, the method comprising: on the basis of a preset apparatus, acquiring data to be monitored; calling, in a preset database, a monitoring threshold having a correspondence relationship with a data item to be monitored, and checking data information of the data item to be monitored; and when the checking result is that the data to be monitored is greater than or equal to the monitoring threshold, generating a fault alarm signal and broadcasting the fault alarm signal on the basis of a preset broadcasting mode. The data to be monitored is automatically acquired by means of the preset apparatus, and a threshold corresponding to the monitored data item is called in the database for checking. When the monitoring data exceeds or is equal to the threshold, the system immediately generates a fault alarm signal and broadcasts the fault alarm signal in the preset mode, thereby implementing real-time and accurate fault warning. By using such an automatic monitoring and alarm mechanism, the efficiency of fault discovery is greatly improved, the need for manual intervention is reduced, and stable operation and safety of the system are ensured.

Description

Monitoring methods and devices, electronic equipment and storage media for photovoltaic power generation systems Technical Field

[0001] This disclosure relates to the field of data processing technology, and in particular to a monitoring method and apparatus, electronic equipment and storage medium for a photovoltaic power generation system. Background Technology

[0002] Photovoltaic power generation, as a clean and renewable energy source, has significant development potential and broad application prospects. Photovoltaic-storage systems, by combining photovoltaic power generation and energy storage technologies, can store excess energy when sunlight is plentiful and release electricity when needed, thereby balancing grid load, improving energy efficiency, and providing grid support and stability.

[0003] To ensure the long-term, efficient operation of photovoltaic (PV) modules, timely and accurate condition assessment is crucial. Currently, PV module condition assessment typically relies on periodic manual inspections and traditional monitoring methods. However, these methods have many limitations, which is a problem that urgently needs to be addressed. Summary of the Invention

[0004] This disclosure provides a monitoring method, apparatus, electronic device, and storage medium for a photovoltaic power generation system. Its main purpose is to achieve automatic monitoring of photovoltaic power generation modules.

[0005] According to a first aspect of this disclosure, a method for monitoring a photovoltaic power generation system is provided, comprising:

[0006] Data to be monitored is collected based on a preset device; wherein the data to be monitored contains at least two data items.

[0007] The monitoring threshold corresponding to the data item to be monitored is retrieved from the preset database to verify the data information of the data item to be monitored;

[0008] When the verification result indicates that the data to be monitored is greater than or equal to the monitoring threshold, a fault alarm signal is generated and broadcast based on a preset broadcasting method.

[0009] Optionally, the monitoring threshold includes a first monitoring threshold and a second monitoring threshold; the first monitoring threshold is less than the second monitoring threshold; the step of generating a fault alarm signal and broadcasting it based on a preset broadcasting method when the verification result is that the data to be monitored is greater than or equal to the monitoring threshold further includes:

[0010] When the data to be monitored is greater than or equal to the first monitoring threshold and less than the second monitoring threshold, the fault alarm signal is generated and broadcast based on a preset broadcasting method;

[0011] When the data to be monitored is greater than or equal to the second monitoring threshold, the circuit breaker corresponding to the monitoring data is controlled to open, and the fault alarm signal is generated and broadcast based on a preset broadcasting method.

[0012] Optionally, the data to be monitored collected based on the preset device further includes:

[0013] Obtain the current of each battery string in the battery pack and the numerical parameters of each inverter; wherein, the numerical parameters include at least one of AC / DC voltage, input current, output current, active power, reactive power, electricity consumption, inverter frequency, and power factor;

[0014] Obtain the operating status of electrical equipment and grid-side data; wherein the grid data includes at least one of grid voltage, grid frequency, and inverter operating conditions.

[0015] Optionally, after generating a fault alarm signal and broadcasting it based on a preset broadcasting method when the verification result shows that the data to be monitored is greater than or equal to the monitoring threshold, the method further includes:

[0016] The system acquires control commands input by the user and controls the operation of electrical equipment according to the control commands; wherein the control commands are obtained from remote operation or from local unit operation.

[0017] Optionally, after collecting the data to be monitored based on a preset device, the method further includes:

[0018] The monitoring data is sent to a preset database based on a preset fiber optic ring network traffic controller.

[0019] According to a second aspect of this disclosure, a monitoring device for a photovoltaic power generation system is provided, comprising:

[0020] A data acquisition unit is used to acquire data to be monitored based on a preset device; wherein the data to be monitored contains data information of at least two monitoring data items;

[0021] The calling unit is used to call a monitoring threshold that corresponds to the data item to be monitored from a preset database, and to verify the data information of the data item to be monitored;

[0022] The generation unit is used to generate a fault alarm signal and broadcast it based on a preset broadcasting method when the verification result is that the data to be monitored is greater than or equal to the monitoring threshold.

[0023] Optionally, the monitoring threshold includes a first monitoring threshold and a second monitoring threshold; the first monitoring threshold is less than the second monitoring threshold; the generation unit further includes:

[0024] The first generation module is used to generate the fault alarm signal and broadcast it based on a preset broadcasting method when the data to be monitored is greater than or equal to the first monitoring threshold and less than the second monitoring threshold.

[0025] The second generation module is used to control the circuit breaker corresponding to the monitoring data to disconnect when the data to be monitored is greater than or equal to the second monitoring threshold, and to generate the fault alarm signal and broadcast it based on a preset broadcasting method.

[0026] Optionally, the acquisition unit further includes:

[0027] The first acquisition module is used to acquire the current of each battery string in the battery pack and the numerical parameters of each inverter; wherein, the numerical parameters include at least one of AC / DC voltage, input current, output current, active power, reactive power, electricity consumption, inverter frequency, and power factor.

[0028] The second acquisition module is used to acquire the operating status of electrical equipment and grid values ​​on the grid side; wherein the grid values ​​include at least one of grid voltage, grid frequency, and inverter operating conditions.

[0029] Optionally, the device further includes:

[0030] The control unit is configured to generate a fault alarm signal and broadcast it based on a preset broadcast method when the verification result of the first generation module is that the data to be monitored is greater than or equal to the monitoring threshold, and then obtain the control command input by the user and control the operation of the electrical equipment according to the control command; wherein the control command is obtained by remote operation or by local unit operation.

[0031] Optionally, the device further includes:

[0032] The storage unit is used to send the data to be monitored to a preset database based on a preset fiber optic ring network traffic controller after the acquisition unit acquires the data to be monitored based on a preset device.

[0033] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[0034] At least one processor; and

[0035] A memory communicatively connected to the at least one processor; wherein,

[0036] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0037] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0038] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0039] The monitoring method, device, electronic equipment, and storage medium for photovoltaic power generation systems disclosed in this disclosure mainly include: collecting data to be monitored based on a preset device; wherein the data to be monitored contains data information of at least two monitoring data items; calling a monitoring threshold corresponding to the data item to be monitored from a preset database to verify the data information of the data item to be monitored; when the verification result is that the data to be monitored is greater than or equal to the monitoring threshold, generating a fault alarm signal and broadcasting it according to a preset broadcasting method. Compared with related technologies, the embodiments of this application automatically collect the data to be monitored through a preset device and call the threshold corresponding to the monitoring data item in the database for verification. When the monitoring data exceeds or equals the threshold, the system immediately generates a fault alarm signal and broadcasts it according to a preset method, thereby achieving real-time and accurate fault early warning. This automated monitoring and alarm mechanism greatly improves the efficiency of fault detection, reduces the need for manual intervention, and ensures the stable operation and safety of the system.

[0040] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0041] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0042] Figure 1 is a flowchart illustrating a monitoring method for a photovoltaic power generation system provided in an embodiment of this disclosure;

[0043] Figure 2 is a flowchart illustrating a monitoring method for a photovoltaic power generation system provided in an embodiment of this disclosure;

[0044] Figure 3 is a schematic diagram of the structure of a monitoring device for a photovoltaic power generation system provided in an embodiment of this disclosure;

[0045] Figure 4 is a schematic diagram of the structure of a monitoring device for a photovoltaic power generation system provided in an embodiment of this disclosure;

[0046] Figure 5 is a schematic block diagram of an example electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0047] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0048] The following description, with reference to the accompanying drawings, outlines a monitoring method, apparatus, electronic device, and storage medium for a photovoltaic power generation system according to embodiments of the present disclosure.

[0049] Figure 1 is a flowchart illustrating a monitoring method for a photovoltaic power generation system provided in an embodiment of this disclosure.

[0050] As shown in Figure 1, the method includes the following steps:

[0051] Step 101: Collect the data to be monitored based on the preset device; wherein the data to be monitored contains data information of at least two monitoring data items.

[0052] In photovoltaic (PV) power generation systems, various sensors and monitoring devices are required to collect key performance parameters in real time. These parameters include, but are not limited to, the temperature of the PV panels, light intensity, output voltage, and current. These data can be automatically collected using pre-installed devices within the system, such as temperature sensors, light meters, and voltage and current transformers. These data acquisition devices are typically connected to a central monitoring system, which is responsible for aggregating and recording all monitored data.

[0053] To ensure data integrity and accuracy, the preset device should possess high reliability and precision. Furthermore, the data acquisition frequency needs to be adjusted according to actual needs to promptly identify potential problems and take corresponding measures. For example, under extreme weather conditions, it may be necessary to increase the data acquisition frequency to more closely monitor the status of the photovoltaic system. Specifically, the acquisition frequency and accuracy can be set according to actual needs; this application does not limit this aspect.

[0054] Step 102: Retrieve the monitoring threshold corresponding to the data item to be monitored from the preset database, and verify the data information of the data item to be monitored.

[0055] After the monitoring data is collected, it is compared with preset monitoring thresholds. These thresholds are set during the system design phase based on historical data, manufacturer specifications, and industry standards. They represent the normal range for each monitoring indicator.

[0056] In the pre-set database, a corresponding threshold is stored for each monitored data item. When new monitoring data is collected and entered into the system, a verification process is automatically triggered. This process involves comparing and analyzing the real-time data with the thresholds in the database to determine if any indicators exceed the normal range. If the monitored data exceeds the pre-set threshold range, it is considered a potential problem requiring further inspection and processing.

[0057] Step 103: When the verification result is that the data to be monitored is greater than or equal to the monitoring threshold, a fault alarm signal is generated and broadcast based on a preset broadcast method.

[0058] When the monitored data exceeds or equals a preset threshold, the system will automatically trigger a fault alarm process. This process first involves generating a clear fault alarm signal, which is usually sent to the monitoring system's operating interface to alert the operator visually or audibly.

[0059] In addition to being displayed on the local monitoring system, fault alarm signals can also be disseminated through various preset broadcast methods. For example, alarm information can be sent to the maintenance team or individuals via SMS, email, or mobile application push notifications to ensure timely notification even when no one is on duty.

[0060] In addition, to improve response speed and efficiency, remote diagnostic capabilities can be added. This means that technicians can remotely access the system via the network to view real-time data and alarm information, and even perform remote troubleshooting in some cases.

[0061] The monitoring method for photovoltaic power generation systems disclosed herein mainly includes the following technical solutions: collecting data to be monitored based on a preset device; wherein the data to be monitored contains at least two monitoring data items; calling a monitoring threshold corresponding to the monitoring data item in a preset database to verify the data information of the monitoring data item; and generating a fault alarm signal and broadcasting it according to a preset broadcasting method when the verification result is that the monitoring data is greater than or equal to the monitoring threshold. Compared with related technologies, the embodiments of this application automatically collect the data to be monitored through a preset device and call the threshold corresponding to the monitoring data item in the database for verification. When the monitoring data exceeds or equals the threshold, the system immediately generates a fault alarm signal and broadcasts it according to a preset method, thereby achieving real-time and accurate fault early warning. This automated monitoring and alarm mechanism greatly improves the efficiency of fault detection, reduces the need for manual intervention, and ensures the stable operation and safety of the system.

[0062] In some embodiments, the monitoring threshold includes a first monitoring threshold and a second monitoring threshold; the first monitoring threshold is less than the second monitoring threshold; the processing methods should also differ when the monitored data exceeds different ranges. Please refer to Figure 2, which is a flowchart illustrating a monitoring method for a photovoltaic power generation system provided in an embodiment of this disclosure, including:

[0063] Step 201: When the data to be monitored is greater than or equal to the first monitoring threshold and less than the second monitoring threshold, generate the fault alarm signal and broadcast it based on a preset broadcasting method.

[0064] When the monitored data exceeds the first monitoring threshold but has not yet reached the second monitoring threshold, it indicates that there may be a potential problem with the system, but it has not yet reached an emergency state. In this case, the system will generate a fault alarm signal and convey this information to maintenance personnel or operators through a preset broadcast method (such as SMS, email, or mobile application notification).

[0065] Alarms at this level typically indicate the need for further system inspection and evaluation to determine if maintenance is required. The maintenance team can assess the severity of the problem based on the alarm information and decide whether to address it immediately or later.

[0066] Step 202: When the data to be monitored is greater than or equal to the second monitoring threshold, control the circuit breaker corresponding to the monitoring data to disconnect and generate the fault alarm signal, and broadcast it based on the preset broadcast method.

[0067] When monitoring data reaches or exceeds the second monitoring threshold, it indicates a serious fault or anomaly in the system, which may damage the equipment or affect the safe and stable operation of the entire system. In this situation, in addition to generating a fault alarm signal and notifying relevant personnel through a preset broadcast method, the system will automatically control the corresponding circuit breaker to disconnect to prevent further losses or dangers. This can quickly isolate the faulty part and prevent the fault from spreading to other healthy parts. At the same time, this also provides the maintenance team with time to safely inspect and repair the fault without worrying that the system will continue to operate and may cause more serious problems.

[0068] In some embodiments, when collecting the data to be monitored based on a preset device in step 101, the following is also included:

[0069] Obtain the current of each battery string in the battery pack and the numerical parameters of each inverter; wherein, the numerical parameters include at least one of AC / DC voltage, input current, output current, active power, reactive power, electricity consumption, inverter frequency, and power factor;

[0070] Obtain the operating status of electrical equipment and grid-side data; wherein the grid data includes at least one of grid voltage, grid frequency, and inverter operating conditions.

[0071] In some embodiments, the detection data items may include the following: the current of each battery string; the AC / DC voltage, input and output current, active power, reactive power, and electrical quantity of each inverter; the inverter frequency and power factor; the operating status of electrical equipment such as inverter fuses, AC / DC circuit breakers, low-voltage side circuit breakers of the transformer substation, and high-voltage side switches; and fault alarm signals such as DC voltage overload, inverter overheating, inverter short circuit, radiator overheating, inverter islanding, and communication failure; and smoke detector signals for containerized transformers.

[0072] By monitoring these parameters, we can understand whether electrical equipment is working properly and whether there are any abnormalities on the power grid side, so as to take timely measures to adjust and optimize.

[0073] Optionally, after generating a fault alarm signal and broadcasting it based on a preset broadcasting method when the verification result shows that the data to be monitored is greater than or equal to the monitoring threshold, the method further includes:

[0074] The system acquires control commands input by the user and controls the operation of electrical equipment according to the control commands; wherein the control commands are obtained from remote operation or from local unit operation.

[0075] The control functions are divided into centralized control and distributed control. Centralized control: Operators can remotely operate electrical equipment such as inverters and low-voltage side circuit breakers of the transformer substation via keyboard or mouse. The system will provide necessary operating procedures and sufficient software and hardware verification functions to ensure the legality, safety, correctness, and rationality of the operation. Distributed control: Each circuit breaker can be manually controlled one-to-one in the local unit, and a remote / local selection switch can be set.

[0076] Optionally, after collecting the data to be monitored based on a preset device, the method further includes:

[0077] The monitoring data is sent to a preset database based on a preset fiber optic ring network traffic controller.

[0078] Each photovoltaic array area is equipped with a communication cabinet containing a photovoltaic subarray controller, a data acquisition unit, and a ring network switch. Within each array, the string inverters communicate with the photovoltaic subarray controller via PLC carrier communication and then connect to the data acquisition unit via RS485. The tracking bracket control box and transformer monitoring and control device within the subarray communicate with the data acquisition unit via RS485, and finally connect to a preset database via a fiber optic ring network switch. In some embodiments, the preset database can be the photovoltaic monitoring backend of the booster station or a higher-level control center; however, this application does not limit the specific preset database used in its embodiments.

[0079] Corresponding to the aforementioned monitoring method for photovoltaic power generation systems, this invention also proposes a monitoring device for photovoltaic power generation systems. Since the device embodiments of this invention correspond to the aforementioned method embodiments, details not disclosed in the device embodiments can be referred to the aforementioned method embodiments, and will not be repeated here.

[0080] Figure 3 is a schematic diagram of the structure of a monitoring device for a photovoltaic power generation system provided in an embodiment of this disclosure. As shown in Figure 3, it includes:

[0081] The acquisition unit 31 is used to acquire data to be monitored based on a preset device; wherein the data to be monitored contains data information of at least two monitoring data items;

[0082] The calling unit 32 is used to call a monitoring threshold that corresponds to the data item to be monitored from a preset database, and to verify the data information of the data item to be monitored;

[0083] The generation unit 33 is used to generate a fault alarm signal and broadcast it based on a preset broadcasting method when the verification result is that the data to be monitored is greater than or equal to the monitoring threshold.

[0084] The monitoring device for a photovoltaic power generation system disclosed herein mainly includes the following technical solution: collecting data to be monitored based on a preset device; wherein the data to be monitored contains at least two monitoring data items; calling a monitoring threshold corresponding to the monitoring data item in a preset database to verify the data information of the monitoring data item; and generating a fault alarm signal and broadcasting it according to a preset broadcasting method when the verification result is that the monitoring data is greater than or equal to the monitoring threshold. Compared with related technologies, the embodiments of this application automatically collect the data to be monitored through a preset device and call the threshold corresponding to the monitoring data item in the database for verification. When the monitoring data exceeds or equals the threshold, the system immediately generates a fault alarm signal and broadcasts it according to a preset method, thereby achieving real-time and accurate fault early warning. This automated monitoring and alarm mechanism greatly improves the efficiency of fault detection, reduces the need for manual intervention, and ensures the stable operation and safety of the system.

[0085] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, the monitoring threshold includes a first monitoring threshold and a second monitoring threshold; the first monitoring threshold is less than the second monitoring threshold; the generation unit 33 further includes:

[0086] The first generation module 331 is used to generate the fault alarm signal and broadcast it based on a preset broadcasting method when the data to be monitored is greater than or equal to the first monitoring threshold and less than the second monitoring threshold.

[0087] The second generation module 332 is used to control the circuit breaker corresponding to the monitoring data to disconnect when the data to be monitored is greater than or equal to the second monitoring threshold, and generate the fault alarm signal, and broadcast it based on a preset broadcasting method.

[0088] Furthermore, in one possible implementation of this embodiment, as shown in FIG4, the acquisition unit 31 further includes:

[0089] The first acquisition module 311 is used to acquire the current of each battery string in the battery pack and the numerical parameters of each inverter; wherein, the numerical parameters include at least one of AC / DC voltage, input current, output current, active power, reactive power, electricity consumption, inverter frequency, and power factor.

[0090] The second acquisition module 312 is used to acquire the operating status of electrical equipment and grid values ​​on the grid side; wherein the grid values ​​include at least one of grid voltage, grid frequency, and inverter operating conditions.

[0091] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, the apparatus further includes:

[0092] The control unit 34 is configured to generate a fault alarm signal and broadcast it based on a preset broadcasting method when the verification result of the first generation module 331 is that the data to be monitored is greater than or equal to the monitoring threshold, and then obtain the control command input by the user and control the operation of the electrical equipment according to the control command; wherein the control command is obtained by remote operation or by local unit operation.

[0093] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, the apparatus further includes:

[0094] The storage unit 35 is used to send the data to be monitored to a preset database based on a preset fiber optic ring network traffic controller after the acquisition unit 31 acquires the data to be monitored based on a preset device.

[0095] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0096] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0097] Figure 5 illustrates a schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0098] As shown in Figure 5, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 can also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0099] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0100] The computing unit 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as a method for monitoring a photovoltaic power generation system. For example, in some embodiments, the method for monitoring a photovoltaic power generation system can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned monitoring method for the photovoltaic power generation system by any other suitable means (e.g., by means of firmware).

[0101] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0102] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0103] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0104] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0105] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0106] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the management difficulties and weak business scalability inherent in traditional physical hosts and VPS (Virtual Private Server) services. Servers can also be servers for distributed systems or servers integrated with blockchain technology.

[0107] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0108] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0109] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method of monitoring a photovoltaic power generation system, characterized by, include: Data to be monitored is collected based on a preset device; wherein the data to be monitored contains at least two data items. The monitoring threshold corresponding to the data item to be monitored is retrieved from the preset database to verify the data information of the data item to be monitored; When the verification result indicates that the data to be monitored is greater than or equal to the monitoring threshold, a fault alarm signal is generated and broadcast based on a preset broadcasting method.

2. The method of claim 1, wherein, The monitoring threshold includes a first monitoring threshold and a second monitoring threshold; the first monitoring threshold is less than the second monitoring threshold; the step of generating a fault alarm signal and broadcasting it based on a preset broadcasting method when the verification result is that the data to be monitored is greater than or equal to the monitoring threshold further includes: When the data to be monitored is greater than or equal to the first monitoring threshold and less than the second monitoring threshold, the fault alarm signal is generated and broadcast based on a preset broadcasting method; When the data to be monitored is greater than or equal to the second monitoring threshold, the circuit breaker corresponding to the monitoring data is controlled to open, and the fault alarm signal is generated and broadcast based on a preset broadcasting method.

3. The method of claim 1, wherein, The data to be monitored collected based on the preset device also includes: Obtain the current of each battery string in the battery pack and the numerical parameters of each inverter; wherein, the numerical parameters include at least one of AC / DC voltage, input current, output current, active power, reactive power, electricity consumption, inverter frequency, and power factor; Obtain the operating status of electrical equipment and grid-side data; wherein the grid data includes at least one of grid voltage, grid frequency, and inverter operating conditions.

4. The method of claim 2, wherein, After generating a fault alarm signal and broadcasting it based on a preset broadcasting method when the verification result indicates that the monitored data is greater than or equal to the monitoring threshold, the method further includes: The system acquires control commands input by the user and controls the operation of electrical equipment according to the control commands; wherein the control commands are obtained from remote operation or from local unit operation.

5. The method according to any one of claims 1-4, characterized in that, After collecting the data to be monitored based on a preset device, the method further includes: The monitoring data is sent to a preset database based on a preset fiber optic ring network traffic controller.

6. A monitoring device for a photovoltaic power generation system, characterized by comprising: include: A data acquisition unit is used to acquire data to be monitored based on a preset device; wherein the data to be monitored contains data information of at least two monitoring data items; The calling unit is used to call a monitoring threshold that corresponds to the data item to be monitored from a preset database, and to verify the data information of the data item to be monitored; The generation unit is used to generate a fault alarm signal and broadcast it based on a preset broadcasting method when the verification result is that the data to be monitored is greater than or equal to the monitoring threshold.

7. The apparatus of claim 6, wherein, The monitoring threshold includes a first monitoring threshold and a second monitoring threshold; the first monitoring threshold is less than the second monitoring threshold; the generation unit further includes: The first generation module is used to generate the fault alarm signal and broadcast it based on a preset broadcasting method when the data to be monitored is greater than or equal to the first monitoring threshold and less than the second monitoring threshold. The second generation module is used to control the circuit breaker corresponding to the monitoring data to disconnect when the data to be monitored is greater than or equal to the second monitoring threshold, and to generate the fault alarm signal and broadcast it based on a preset broadcasting method.

8. An electronic device, comprising: include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

9. A non-transitory computer-readable storage medium having stored thereon computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

10. A non-transitory computer-readable storage medium having stored thereon computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

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