Solar Power Micro Inverter Event Management System, and Method thereof

Abstract

The present invention relates to a photovoltaic power generation micro-inverter event management system and method, and more specifically, to a photovoltaic power generation micro-inverter event management system and method for automatically diagnosing abnormal conditions of a micro-inverter with high reliability based on various sensors, analyzing and processing events, and providing information in real time, thereby increasing maintenance efficiency and strengthening safety and system reliability.

Description

Technology Field

[0001] The present invention relates to a photovoltaic power generation micro-inverter event management system and method, and more specifically, to a photovoltaic power generation micro-inverter event management system and method for automatically diagnosing abnormal conditions of a micro-inverter with high reliability based on various sensors, analyzing and processing events, and providing information in real time, thereby increasing maintenance efficiency and strengthening safety and system reliability. Background Technology

[0003] Generally, solar power generation systems use inverters to convert direct current (DC) power generated by solar modules into alternating current (AC) power, and recently, micro-inverters installed on each individual solar module are becoming widespread. These micro-inverters have the advantage of optimizing the power generation performance of individual modules and minimizing the impact on the entire system in the event of a failure.

[0004] Conventional microinverter systems monitored only basic electrical characteristics such as power generation, voltage, and current, and were limited to simply collecting data and displaying it to the user. Furthermore, their ability to analyze the causes of abnormal situations, such as failures or output anomalies, in real time was limited, and they lacked the capabilities to analyze correlations between sensor data or to determine complex events.

[0005] Furthermore, since existing systems merely provided simple notifications or performed logging after an event occurred, it was difficult to prevent dangerous situations such as theft, impact, fire, and electric shock in advance. Moreover, diagnosing complex causes required maintenance personnel to visit the site in person and make manual assessments. This could lead to increased maintenance costs and reduced system reliability.

[0006] Accordingly, in this technical field, there is a need for technological development to solve the problems of conventional technology by automatically diagnosing abnormal conditions of microinverters with high reliability based on various sensors, analyzing and processing events, and providing information in real time, thereby increasing maintenance efficiency and strengthening safety and system reliability. Prior art literature

[0008] Republic of Korea Patent Application No. 10-2014-0116646 "Smart monitoring controller and control system for solar power distribution panels" Republic of Korea Patent Application No. 10-2018-0052659 "Automatic fire extinguishing system for solar power generation electrical facilities and control method thereof" The problem to be solved

[0009] The present invention aims to solve the above-mentioned problems by configuring various sensors inside and outside the micro-inverter to detect physical conditions, environmental conditions, security conditions, etc., in addition to power generation performance, in real time. It also aims to provide a photovoltaic power generation micro-inverter event management system and method that automatically analyzes complex events (e.g., attempted theft, risk of electric shock, structural damage, etc.) based on collected data and performs warnings or response measures in advance.

[0010] Furthermore, the present invention aims to provide a photovoltaic power generation micro-inverter event management system and method that enables a response in an appropriate order and manner when multiple events occur through an intelligent event processing module that considers the risk, overlap, and priority of events, and improves the response speed by providing visual and intuitive information (e.g., map-based display, dashboard-type visualization) to an administrator based on the generated events and sensor data.

[0011] In addition, the present invention aims to provide a photovoltaic power generation micro-inverter event management system and a method thereof, which continuously stores sensor data, event history, user feedback, etc., and accumulates them as an AI training dataset to enable their utilization for long-term predictive maintenance and system improvement.

[0012] However, the objectives of the present invention are not limited to those mentioned above, and other unmentioned objectives will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0014] To achieve the above objective, a photovoltaic power generation micro-inverter event management system according to an embodiment of the present invention comprises: a plurality of micro-inverters (100) installed between a photovoltaic module (10) and a load (20); a sensing module (110) connected to each micro-inverter (100); a monitoring terminal (300) that collects data from the micro-inverter (100) and analyzes and processes events; and one or more smartphones (400) that are connected to communicate with the monitoring terminal (300); wherein the monitoring terminal (300) may be characterized by including: a sensing module (321) that collects and normalizes sensing data; a monitoring module (322) that monitors the status of the micro-inverter in real time based on the collected data; and an event analysis module (323) that analyzes whether an event occurs and the cause of the event based on the monitoring.

[0015] At this time, the present invention may provide a solar power generation micro inverter event management system characterized by further including: an event processing module (324) that performs corresponding measures according to an event; and an information providing module (325) that provides event information and status information to a smartphone.

[0016] In addition, the event analysis module (323) in the present invention can provide a photovoltaic power generation micro-inverter event management system characterized by analyzing complex events based on data from multiple sensors.

[0017] In addition, the present invention may provide a photovoltaic power generation micro-inverter event management system characterized in that the sensing module (110) of the micro-inverter (100) includes a voltage sensor, a current sensor, a power / energy monitoring IC, and a status information measurement sensor.

[0018] In addition, the present invention may provide a photovoltaic power generation micro-inverter event management system characterized in that the micro-inverter (100) stores voltage, current, power generation amount, status information, etc., and sensing information generated by the sensing module (110) in a register, and responds when the gateway (200), which is a master device, requests information via Modbus.

[0019] To achieve the above objective, a solar power generation micro-inverter event management method according to an embodiment of the present invention, which manages events based on data generated from a plurality of micro-inverters (100) installed between a solar module (10) and a load (20), may be characterized by comprising: a step of collecting data through a sensing module (110) connected to each of the plurality of micro-inverters (100); a step of normalizing the collected data at a monitoring terminal (300); a step of monitoring the status of the micro-inverter (100) in real time based on the normalized data; and a step of analyzing whether an event has occurred and the cause based on the monitoring data.

[0020] At this time, the present invention may provide a solar power generation micro inverter event management method characterized by further including: an event processing step that performs a response measure according to the type and severity of the event when an event occurs; and an information provision step that provides event information and status information to one or more smartphones (400).

[0021] In addition, the step of analyzing whether an event has occurred and the cause thereof in the present invention may include the operation of an event analysis module (323) that determines a complex event by linking data collected from a plurality of sensors, thereby providing a solar power generation micro inverter event management method.

[0022] In addition, the step of collecting data in the present invention can provide a solar power generation micro-inverter event management method characterized by collecting data from a voltage sensor, a current sensor, a power / energy monitoring IC, and a status information measurement sensor through a sensing module (110) included in each micro-inverter (100).

[0023] Additionally, the step of collecting data in the present invention may include the step of the micro inverter (100) storing voltage, current, power generation amount, status information and sensing information generated by the sensing module (110) in a register, and when an information request is received from the gateway (200) via Modbus communication, transmitting data in response to the request, thereby providing a solar power generation micro inverter event management method. Effects of the invention

[0025] The photovoltaic power generation micro-inverter event management system and method according to an embodiment of the present invention can precisely detect and automatically analyze complex events such as power generation abnormalities, electric shock risks, dismantling attempts, and structural damage, thereby reducing the need for on-site diagnosis by maintenance personnel. Furthermore, since it goes beyond simple sensor value collection to enable cause inference based on time synchronization and correlation analysis of multiple sensors, it provides the effect of identifying the fundamental cause of the event and enabling efficient measures.

[0026] In addition, the photovoltaic power generation micro-inverter event management system and method according to another embodiment of the present invention can automatically perform step-by-step responses such as notification, system shutdown, and video streaming depending on the severity of the event, thereby minimizing response delays and preventing safety accidents, and the information provided to the manager consists of map-based event locations, visual dashboards, analysis reports, etc., providing the effect of enabling intuitive and rapid judgment.

[0027] In addition, the photovoltaic power generation micro-inverter event management system and method according to another embodiment of the present invention can enable the implementation of a long-term predictive maintenance system and contribute to failure prevention and system performance improvement by storing event occurrence logs, sensing data, user feedback, etc., and utilizing them as data for AI training. Brief explanation of the drawing

[0029] FIG. 1 is a drawing showing a photovoltaic power generation micro inverter event management system (1) according to an embodiment of the present invention. FIG. 2 is a block diagram showing the components of a monitoring terminal (300) in a photovoltaic power generation micro inverter event management system (1) according to an embodiment of the present invention. FIG. 3 is a flowchart illustrating a photovoltaic power generation micro-inverter event management method according to an embodiment of the present invention. FIG. 4 is a flowchart illustrating a photovoltaic power generation micro-inverter event management method according to another embodiment of the present invention. Specific details for implementing the invention

[0030] Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In describing the present invention below, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the essence of the present invention, such detailed description will be omitted.

[0031] In this specification, when one component 'transmits' data or a signal to another component, it means that the component may transmit said data or the signal directly to the other component, or may transmit said data or the signal to the other component through at least one other component.

[0033] FIG. 1 is a drawing showing a photovoltaic power generation micro-inverter event management system (1) according to an embodiment of the present invention. Referring to FIG. 1, the photovoltaic power generation micro-inverter event management system (1) may include a micro-inverter (100) formed between a photovoltaic module (10) and a load (20), a sensing module (110) formed inside and outside each micro-inverter (100), a gateway (200), a monitoring terminal (300), and a plurality of smartphones (400).

[0034] The micro inverter (100) converts direct current electricity into alternating current electricity.

[0035] The micro inverter (100) is a plurality of micro inverters attached to a solar power generation device, and each micro inverter (100) generates individual power generation data in real time.

[0036] In the present invention, the micro inverter (100) stores voltage, current, power generation amount, status information, etc., and sensing information generated by the sensing module (110) in a register, and can respond when the gateway (200), which is a Master device, requests this information via Modbus. At this time, the communication priority refers to which information should be requested and processed first, and, for example, important information such as fault status or power generation amount can be set to be processed first.

[0037] To this end, the sensing module (110) of the micro inverter (100) may include a voltage sensor, a current sensor, a power / energy monitoring IC, a status information measurement sensor, etc.

[0038] Here, the voltage sensor measures input voltage (DC) and output voltage (AC), and can utilize voltage divider circuits, Hall effect voltage sensors, optically isolated voltage sensors, etc. The current sensor can measure input current (DC flowing in from the solar panel) and output current (AC). The power / energy monitoring IC can calculate real-time power (P = V×I) and power generation (cumulative kWh).

[0039] The status information measurement sensor may include an internal image sensor, a motion detection image sensor, an air quality sensor, a heat detection sensor, an external air flow detection sensor, and an impact sound sensor.

[0040] An internal image sensor is installed on one side of the interior of the micro-inverter (100), and the control unit (320) transmits signals and data through the gateway (200), i.e., the control signal of the control unit (320), and the motion detection image sensor is installed on one side of the exterior of the micro-inverter (100), and is electrically connected to the control unit (320) to perform shooting when a human body is detected according to the control signal of the control unit (320), and the air quality sensor is installed on one side of the interior of the micro-inverter (100), and the control unit (320) transmits signals and data through the gateway (200), i.e., the control signal of the control unit (320), and can measure fine dust in the air inside the micro-inverter (100).

[0041] A heat detection sensor is installed on one side of the interior of the micro inverter (100), and the control unit (320) measures the internal and external temperatures of the micro inverter (100) according to the signal and data transmission through the gateway (200), that is, the control signal of the control unit (320); an external air flow detection sensor is installed on one side of the exterior of the micro inverter (100), and the control unit (320) measures the amount of external air according to the signal and data transmission through the gateway (200), that is, the control signal of the control unit (320); and an impact sound sensor is installed on one side of the exterior of the micro inverter (100), and the control unit (320) can detect the sound of an external impact applied to the micro inverter (100) according to the signal and data transmission through the gateway (200), that is, the control signal of the control unit (320).

[0042] Modbus is an industrial protocol for communication between devices in a photovoltaic power generation system and can be used when equipment such as a micro-inverter (100) exchanges data. That is, Modbus is an open standard protocol and is a communication method based on a Master-Slave structure, and Modbus TCP / IP operates based on Ethernet, enabling fast and stable data transmission.

[0043] The monitoring terminal (300) manages the micro inverter (100) through the gatework (200).

[0044] The smartphone (400) receives monitoring information (including navigation information and event information) sent from the monitoring terminal (300) and can display the received navigation information and output event information at the same time.

[0046] FIG. 2 is a block diagram showing the components of a monitoring terminal (300) of a photovoltaic power generation micro inverter event management system (1) according to an embodiment of the present invention. Referring to FIG. 2, the monitoring terminal (300) may include a transmitting / receiving unit (310), a control unit (320), and a storage unit (330).

[0047] The control unit (320) may include a sensing module (321), a monitoring module (322), an event analysis module (323), an event processing module (324), and an information provision module (325).

[0048] The sensing module (321) performs the function of collecting and normalizing data collected through various sensors installed inside and outside the micro inverter (100), and receives and integrates data such as voltage sensors, current sensors, power / generation sensors, internal image sensors, motion detection image sensors, air quality sensors, heat detection sensors, external air flow detection sensors, and impact sound sensors, and transmits it to the event analysis module (323).

[0049] The sensing module (321) manages the collection cycle and priority of each sensor, and can perform correction processing for abnormal sensor values ​​(e.g., error values ​​or missing values) when necessary, and can maintain data consistency for high-precision event analysis by synchronizing multiple sensor data with timestamps.

[0050] The monitoring module (322) monitors the operating status and sensor status of the micro inverter (100) in real time and evaluates the health status of the entire system based on items such as normal operation, abnormal signs, communication status, power production status, and sensor responsiveness.

[0051] The monitoring module (322) can accumulate and record power generation information and status information collected for each micro inverter (100), and if it deviates from the reference deviation, it can generate a pre-diagnosis and alarm signal in conjunction with the event analysis module (323).

[0052] Additionally, the monitoring module (322) can be configured to enable anomaly detection within the cluster or identification of abnormal operating inverters through relative comparative analysis among multiple micro-inverters.

[0053] The event analysis module (323) analyzes the first to nth events (n is a natural number greater than or equal to 2) and can request the event processing module (324) to process the analyzed events.

[0054] The event analysis module (323) can analyze a "power generation abnormal event (type of tracing the cause of output reduction)" as a first event, and can utilize the amount of power generation (sensing information) provided by the power / generation amount sensor, the amount of sunlight outside the micro-inverter measured by the heat detection sensor or the amount of outside air flow measured by the outside air flow detection sensor, and the internal temperature of the micro-inverter measured by the heat detection sensor. In another embodiment of the present invention, the amount of sunlight can be measured by configuring a state information measurement sensor in which a sunlight sensor is added in addition to the heat detection sensor on the outside of the micro-inverter.

[0055] That is, the event analysis module (323) can analyze the possibility of panel contamination or cell defects when, as a first event, the outside air volume or sunlight volume is within a preset normal range and the internal temperature is also within a preset normal range, but the power generation volume drops sharply above the standard. Alternatively, the event analysis module (323) can analyze the possibility of poor heat dissipation or cooling fan failure when, as a first event, the outside air volume is lower than a preset threshold and the internal temperature rises above the standard value and the power generation volume decreases, thereby classifying the cause rather than simply a decrease in power generation volume, maximizing maintenance efficiency and enabling automatic judgment without the need for human diagnosis.

[0056] The event analysis module (323) can analyze "leakage current and electric shock risk events" as a second event and can utilize current abnormality detection information from the current sensor, external impact sound detection information from the impact sound sensor, and internal temperature rise information of the micro inverter (100) from the heat detection sensor.

[0057] That is, the event analysis module (323) analyzes the possibility of leakage current or short circuit accidents when an abnormal current and a temperature rise above a preset threshold occur simultaneously after an external shock to the micro inverter (100), thereby enabling the simultaneous recognition of physical shock and heat increase in dangerous situations where it was previously difficult to determine the cause based solely on the abnormal current, and thus can detect electric shock and fire risks in advance.

[0058] The event analysis module (323) can analyze the "unauthorized opening / dismantling event (theft / damage attempt)" as a third event, and can utilize human body approach information from the motion detection image sensor, external impact sound detection information from the impact sound sensor, and internal temperature sudden change information from the heat detection sensor inside the micro inverter (100) after the opening of the cover of the micro inverter (100) by the internal image sensor is detected.

[0059] That is, the event analysis module (323) can detect when a person approaches the micro inverter (100) and an impact sound is heard, and subsequently the cover of the micro inverter (100) is opened and the internal temperature changes rapidly, and analyzes whether the outer casing of the micro inverter (100) has been dismantled or an intrusion has occurred (e.g., an attempted nighttime theft), thereby enabling a highly reliable determination of an intentional attempt at damage beyond simple human detection or sound detection, and can enable the linkage of an alarm or real-time video transmission function.

[0060] The event analysis module (323) analyzes "abnormal vibration and structural damage events" as the fourth event and can utilize information on a sudden increase in air volume above a threshold from an external air flow detection sensor, information on impact sound detection from an impact sound sensor, and information on current / voltage instability from a voltage sensor and a current sensor.

[0061] That is, the event analysis module (323) detects vibration or abnormal sound along with strong winds around the micro inverter (100) and analyzes the possibility of damage to the micro inverter (100) support or poor fixation when the output of the micro inverter (100) is unstable, and conversely analyzes the possibility of external object falling or being struck when there is only an impact sound without strong winds and the output is unstable, thereby analyzing the relationship between simple mechanical impact and output change to automatically identify physical problems. It can also be utilized for long-term durability analysis.

[0062] The event processing module (324) has the function of performing follow-up actions based on the event determination result transmitted from the event analysis module (323), and reacts differently depending on the type of event that occurs.

[0063] For example, the event processing module (324) can perform real-time emergency notification transmission to the smartphone (400), start video streaming, or system shutdown command in the event of a high-risk event such as electric shock risk or structural damage, and in the case of a low-risk event, it may only perform log recording and operator notification.

[0064] The event processing module (324) can also adjust the processing order or perform a merged response when multiple events occur by considering the priority and overlap of the events, and can selectively perform an appropriate response through a pre-set response manual or an AI-based automatic processing algorithm for each event.

[0065] In the present invention, the "event priority and overlap-based processing coordination" function of the event processing module (324) is provided, and each embodiment described below may embody technical effects by including intelligent automatic judgment, merge response, and resource optimization processing methods that are differentiated from existing simple alarm-centered systems.

[0066] In a first embodiment, the event processing module (324) can adjust the processing order based on risk in an event overlap situation.

[0067] When two events occur simultaneously in a specific micro inverter (100), in a specific embodiment, when an "unauthorized opening attempt event" (medium risk) is followed by an "electric shock risk event" (high risk), the event processing module (324) prioritizes processing the electric shock risk event with a high risk level, immediately sends a warning notification and system shutdown signal to the smartphone (400), and delays the order of processing the unauthorized opening event by logging it and processing it after a certain period of time. Thus, while existing systems simply list simultaneous events or process them all equally, the present invention can selectively process them according to a priority policy.

[0068] In addition, as a second embodiment, by performing AI-based event merging and single response, when, for example, strong wind detection (outdoor air flow sensor), impact sound generation, and output instability are detected sequentially, the existing system may determine each as an individual event, but the event processing module (324) according to the present invention determines this as a "structural risk event due to support damage" through AI-based analysis, starts high-resolution video streaming, and provides a "support inspection needed" notification to the administrator in a single form, thereby enabling prevention of duplicate notifications and efficient response through the recognition of the cause correlation and pattern of the event.

[0069] More specifically, when multiple events occur, the event processing module (324) converts the attributes of the events (event type, location of occurrence, time interval, type of related sensor, reliability, etc.) transmitted from the event analysis module (323) into a meta-event profile composed of vectors, and can determine to merge them into a single high-risk cause event by applying a past event pattern dataset accumulated in the storage unit (330), a rule-based sequence analysis engine, or a lightweight deep learning algorithm (LSTM-based event chain classification model, etc.).

[0070] Existing systems simply process events independently in the order of occurrence or classify them based on human threshold settings, but the present invention can prevent the problem of alarm flooding by learning temporal and spatial correlations, repeating patterns of sensor combinations, previous response results, etc., and performing a decision to merge them into a single cause or chain of events.

[0071] In addition, as a third embodiment, through a resource constraint-based event delay processing algorithm, in a system maintenance mode or a situation with high communication load, the event processing module (324) considers processing resources when an event occurs, for example, non-urgent events (e.g., slight temperature rise) or recurring minor anomalies are processed in batches after a certain period of time or stored in a waiting queue and responded sequentially after resources are recovered, thereby providing a smart scheduling processing method that goes beyond simple event response and considers system resources and state.

[0072] More specifically, the event processing module (324) monitors multiple system resource states in real time, such as the system's operating state, communication delay, maintenance mode status, network traffic load, processing queue length, and CPU / RAM usage, and can execute an event processing scheduling algorithm that stores certain events in a delay queue or transfers them to asynchronous batch processing by considering the priority, risk, redundancy, and time sensitivity of the events that occur.

[0073] In addition, as a fourth embodiment, when a specific event occurs through the automatic selection function of the administrator response protocol, the event processing module (324) can refer to the administrator settings or past response history stored in the storage unit (330) and select and perform a customized response procedure according to the region, time zone, and maintenance contract conditions. For example, by selecting and performing a customized response procedure according to the region, time zone, and maintenance contract conditions, such as “automatic call to A maintenance team” or “warning only without shutdown in B region” when the risk of electric shock occurs, a policy-based automatic response system that considers not only the type of event but also the management environment can be provided.

[0074] In addition, as a fifth embodiment, when multiple causes such as external impact + high temperature detection + sudden decrease in output occur in a solar panel through the application of a multi-stage processing flow during a complex event, the event processing module (324) can improve on-site response capability by establishing a complex-stage response system for a single event, such as sending an emergency notification in the first stage, starting video streaming and saving a log in the second stage, and automatically sending local status information of the monitoring terminal (300) to a smartphone (400) in the third stage.

[0076] The information provision module (325) performs the function of generating and outputting monitoring information, event information, alarms, and navigation information provided to the administrator via a smartphone (400). The information provision module (325) visually displays the location, time, type, and severity of an event occurrence, and, for example, can be configured to display event icons in a color or flashing manner according to the location on the map of each micro inverter (100), and to output detailed data when the user touches or clicks.

[0077] Additionally, the information provision module (325) can provide a visualized dashboard, such as real-time power generation, frequency of abnormal occurrences, temperature graph, and status history, on the screen of the smartphone (400), and can automatically provide related camera footage, analysis reports, or maintenance guide information according to the event to improve user convenience and response speed.

[0078] The storage unit (330) is a component of the monitoring terminal (300) and performs the function of storing data generated or collected through the sensing module (321), monitoring module (322), event analysis module (323), event processing module (324), information provision module (325), etc.

[0079] Specifically, the storage unit (330) may include the following data.

[0080] First, the storage unit (330) stores raw sensing data such as voltage, current, power generation amount, internal / external temperature, air quality, wind volume, impact sound, and video collected from each micro inverter (100) in chronological order, and can perform timeline-based history management for event analysis.

[0081] Secondly, the storage unit (330) stores the event judgment result derived from the event analysis module (323) and the sensing data (including snapshots) at the time of the event occurrence, and can be utilized as an event history DB for repetitive pattern analysis or statistics-based preventive maintenance.

[0082] Thirdly, the storage unit (330) can store the notification reception history, response action records, user feedback, etc. provided by the smartphone (400) or user terminal, so that they can be used for analyzing the effectiveness of event response and improving the system.

[0083] Fourth, by storing setting values ​​and reference information, the storage unit (330) stores reference value setting data necessary for system operation, such as thresholds, normal ranges, and event detection conditions for each sensor, and can store the history together when the settings are changed by an administrator to ensure security and traceability.

[0084] Fifth, the storage unit (330) can accumulate repeated sensing patterns and event result data as a training dataset for future AI-based predictive maintenance or anomaly detection functions, and the stored data can be utilized to improve the accuracy of the event cause inference algorithm.

[0085] The storage unit (330) may be configured to enable temporary storage and long-term preservation by including volatile memory (RAM) and non-volatile storage devices (e.g., flash memory, SSD, etc.), and may be linked with an automatic backup or server transfer function under specific conditions (e.g., occurrence of an event, exceeding capacity, etc.).

[0087] FIG. 3 is a flowchart illustrating a solar power micro-inverter event management method according to an embodiment of the present invention. Referring to FIG. 3, the solar power micro-inverter event management method includes a sensing process (S11), a monitoring process (S12), an event analysis process (S13), an event processing process (S14), and an information provision process (S15). Since the process is identical to the above-described sensing module (321), monitoring module (322), event analysis module (323), event processing module (324), and information provision module (325), a redundant description thereof will be omitted.

[0089] FIG. 4 is a flowchart illustrating a photovoltaic micro-inverter event management method according to another embodiment of the present invention. Referring to FIG. 4, the photovoltaic micro-inverter event management method may consist of a system booting and network linking step (S100), a version matching determination and update step (S200), a sensing and monitoring data collection step (S300), an event analysis and processing step (S400), and an information provision and user response step (S500).

[0090] We will examine each step in detail below.

[0091] In the system booting and network linkage step (S100), in step (S110) (power ON and system initialization), the gateway (200) boots up upon power application, and the monitoring terminal (300) performs internal control module initialization. The sensing module (321) scans the initialized sensor list and ID to register configuration information, and the information provision module (325) can display the initial state on the administrator screen or smartphone (400).

[0092] In step (S120) (network interface initialization), the gateway (200) secures a communication channel with the monitoring terminal (300) through wired / wireless network settings, and the monitoring module (322) can check and record the communication status and network signal strength.

[0094] Next, in the version consistency determination and update step (S200) and step (S210) (Alive + initial version information transmission), the gateway (200) can transmit an initial packet containing Protocol / Parsing / Inverter version information along with an Alive signal to the monitoring terminal (300).

[0095] In step (S220) (version comparison and mismatch verification), the monitoring terminal (300) compares the received Protocol / Parsing / Inverter version with a reference value to determine consistency, and records this information so that it can be used for future communication error analysis.

[0096] In step (S230) (individual request for version mismatch item), for each mismatch item among Protocol, Parsing, and Inverter, the monitoring module (322) performs an individual data request to each gateway (200), and the information provision module (325) can display the "version synchronization in progress" status to the administrator via a smartphone (400) through short-range wireless communication via its own display.

[0097] In step (S240) (data configuration and transmission of the gateway), the gateway (200) can configure the data of each requested version into a JSON or binary structure and transmit it to the monitoring terminal (300).

[0098] In the (memory update) of step (S250), the monitoring terminal (300) can complete the preparation for sensing data collection and Modbus parsing by reflecting the latest version data in the internal structure.

[0100] Next, in the sensing and monitoring data collection step (S300), at the step (SS310) (start of request per Modbus channel), the monitoring terminal (300) sequentially transmits Modbus commands to each micro-inverter (100) through the gateway (200). The sensing module (321) collects and normalizes sensing data such as voltage, current, temperature, air quality, impact sound, and images from each micro-inverter (100), and each sensor data is synchronized based on timestamps and can be transmitted for event analysis.

[0101] In step (S320) (sensing data collection and consistency verification), the sensing module (321) transmits the collected data to the monitoring module (322) after filtering out outliers, correcting missing values, and normalizing the data.

[0102] In step (S330) (status evaluation of the monitoring module), the monitoring module (322) evaluates in real time whether each micro inverter (100) is operating normally, the power generation deviation, the sensor response status, and the communication stability based on the collected data, and when the standard deviation is exceeded, the situation can be transmitted to the event analysis module (323).

[0104] Next, in the event analysis and processing step (S400), in the (event analysis) of step (S410), the event analysis module (323) performs multiple event judgments, and can execute a highly reliable diagnostic algorithm through a combination of complex sensors, including power generation abnormality events (automatic analysis of the cause of sudden output decrease), electric shock risk events (impact + current abnormality + temperature rise), unauthorized dismantling attempt events (human approach + impact sound + sudden internal temperature change), and structural damage events (strong wind + output instability).

[0105] In the event processing step (S420), the event processing module (324) classifies the analyzed event into high-risk events and low-risk events according to the risk level and type of the event. In the case of a high-risk event, it performs emergency notification transmission to the smartphone (400), system shutdown, and administrator call. In the case of a low-risk event, it performs branched response by saving logs and updating status icons. In the case of multiple events, it can perform priority-based merge / delayed processing.

[0107] Next, in the information provision and user response step (S500), in the step (S510) (user delivery of the information provision module), the information provision module (325) can provide real-time development status, location and detailed information of the event, analysis reports and response guides in a visualized form on a smartphone (400) or its own display, and can also provide them through UX advancements such as map-based event visualization, dashboard-type statistics provision, and risk color classification, and can accumulate them as future AI training data through the storage of administrator feedback.

[0109] The present invention can also be implemented as computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all types of recording devices in which data that can be read by a computer system is stored.

[0110] Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage devices, and also include those implemented in the form of carrier waves (e.g., transmission over the Internet).

[0111] In addition, computer-readable recording media are distributed across networked computer systems, allowing computer-readable code to be stored and executed in a distributed manner. Furthermore, functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the technical field to which the present invention belongs.

[0113] As described above, preferred embodiments of the present invention have been disclosed in this specification and drawings. Although specific terms have been used, they are used merely in a general sense to facilitate the explanation of the technical content of the invention and to aid in understanding the invention, and are not intended to limit the scope of the invention. It is obvious to those skilled in the art that, in addition to the embodiments disclosed herein, other variations based on the technical concept of the present invention may be implemented. Explanation of the symbols

[0115] 1 : Solar Power Micro Inverter Event Management System 10 : Solar module 20 : Load 100 : Microinverter 110 : Sensing module 200 : Gateway 300 : Monitoring terminal 310 : Transmitter / Receiver 320 : Control unit 321 : Sensing module 322 : Monitoring Module 323 : Event Analysis Module 324 : Event handling module 325 : Information Provision Module 330 : Storage unit 400 : Smartphone

Claims

Claim 1 In a photovoltaic power generation micro-inverter event management system (1) comprising a micro-inverter (100) formed between a photovoltaic module (10) and a load (20), a sensing module (110) formed inside and outside each micro-inverter (100), a gateway (200), a monitoring terminal (300), and a plurality of smartphones (400), the micro-inverter (100) plays the role of converting direct current electricity into alternating current electricity, generates individual power generation data in real time, stores sensing information generated by the sensing module (110) in a register, and responds to an information request via Modbus from the gateway (200), which is a master device; the sensing module (110) of the micro-inverter (100) includes a voltage sensor, a current sensor, a power / energy monitoring IC, and a status information measurement sensor; the voltage sensor measures input voltage and output voltage, and the current sensor measures input current and output current The power / energy monitoring IC measures and calculates real-time power (P = V×I) and power generation (cumulative kWh), and the status information measurement sensor includes an internal image sensor, a motion detection image sensor, an air quality sensor, a heat detection sensor, an external air flow detection sensor, and an impact sound sensor. The smartphone (400) receives navigation information and event information, which are monitoring information sent from the monitoring terminal (300), displays the received navigation information and outputs the event information at the same time. The monitoring terminal (300) manages the micro inverter (100) through the gatework (200) and includes a transmission / reception unit (310), a control unit (320), and a storage unit (330). The control unit (320) includes a sensing module (321), an event analysis module (323), an event processing module (324), and an information provision module (325). The sensing module (321)It performs the function of collecting and normalizing data collected through sensors installed inside and outside the micro-inverter (100), receives input data from a voltage sensor, a current sensor, a power / generation sensor, an internal image sensor, a motion detection image sensor, an air quality sensor, a heat detection sensor, an outside air flow detection sensor, and an impact sound sensor, integrates the data, and transmits it to an event analysis module (323), manages the collection cycle and priority of each sensor, performs correction processing for error values ​​or missing values ​​corresponding to abnormal sensor values, and maintains data consistency for event analysis by synchronizing multiple sensor data with timestamps, and the event analysis module (323) analyzes the first to nth events (n is a natural number greater than or equal to 2), performs a processing request to the event processing module (324) for the analyzed events, analyzes the "generation abnormal event" as the first event in a type of output reduction cause tracing, and analyzes the generation amount, which is sensing information provided by the power / generation sensor, the amount of sunlight outside the micro-inverter measured by the heat detection sensor, or the amount measured by the outside air flow detection sensor Utilizing the external airflow and the internal temperature of the micro-inverter measured by the heat sensing sensor, if the external airflow or sunlight is within a preset normal range and the internal temperature is also within a preset normal range without any issues, but the power generation drops sharply above a preset standard, it is analyzed as a possibility of panel contamination or cell defect in the first event; if the external airflow is lower than a preset threshold and the internal temperature rises above a preset standard and the power generation drops below a preset amount, it is analyzed as a presumed heat dissipation failure or cooling fan failure in the first event, and the "leakage current and electric shock risk event" is analyzed as the second event, utilizing current abnormality detection information from the current sensor, external impact sound detection information from the impact sound sensor, and internal temperature rise information of the micro-inverter (100) from the heat sensing sensor,When an abnormal current and a temperature rise above a preset threshold occur simultaneously after an external impact on the micro inverter (100), it is analyzed as a possibility of leakage current or a short circuit accident; a third event, including an attempt at theft / damage, is analyzed as an "unauthorized opening / dismantling event," utilizing human approach information from a motion detection image sensor, external impact sound detection information from an impact sound sensor, and internal temperature rapid change information from a heat detection sensor inside the micro inverter (100) after the opening of the micro inverter (100) cover is detected by an internal image sensor; when an impact sound is heard after a person approaches the micro inverter (100), followed by the opening of the micro inverter (100) cover and a rapid change in internal temperature, it is analyzed as a third event corresponding to the dismantling of the micro inverter (100)'s casing or the occurrence of an intrusion; a fourth event, "abnormal vibration and structural damage event," is analyzed, utilizing information on a rapid increase in airflow above a threshold from an external air flow detection sensor, impact sound detection information from an impact sound sensor, and current / voltage instability information from a voltage sensor and a current sensor, and around the micro inverter (100) When vibration or abnormal sound is detected along with strong winds and the output of the micro inverter (100) is unstable, it is analyzed as a possibility of damage to the micro inverter (100) support or poor fixing; conversely, when there is only an impact sound without strong winds and the output is unstable, it is analyzed as a possibility of external object falling or being struck. The event processing module (324) has the function of performing follow-up actions based on the event judgment result transmitted from the event analysis module (323), and reacts differently depending on the type of event that occurs in stages. When a high-risk event corresponding to the upper stage area among the stages, including the risk of electric shock or structural damage, occurs, it performs real-time emergency notification transmission to the smartphone (400), video streaming initiation, or system shutdown command, and in the case of a low-risk event corresponding to the lower stage area among the stages, it is limited to log recording and operator notification.When multiple events occur, the processing order is adjusted or a merged response is performed by considering the priority and overlap of the events; a response is selectively performed through a pre-set response manual or an AI-based automatic processing algorithm for each event; the processing order is adjusted based on risk in the event overlap situation; when two events occur simultaneously in the micro inverter (100), if a "risk of electric shock event" occurs after an "unauthorized opening attempt event," the risk of electric shock event, which is set to have a relatively higher risk level, is processed first; an immediate warning notification and system shutdown signal are transmitted to the smartphone (400); the unauthorized opening event is delayed in order by logging and processing after a certain period of time; and by performing AI-based event merging and single response, when strong wind detection, impact sound generation, and output instability are detected sequentially, high-resolution video streaming is initiated as a result of merging into a "structural risk event due to support damage" through AI analysis, and a "support inspection required" notification is provided to the administrator in a single form; and when multiple events occur, a meta-event composed of event attributes including event type, occurrence location, time interval, related sensor type, and reliability transmitted from the event analysis module (323) is configured as a vector. It converts into a profile, applies a past event pattern dataset accumulated in the storage unit (330) and a rule-based sequence analysis engine or a lightweight deep learning algorithm to determine merging them into a single high-risk cause event, and through a resource constraint-based event delay processing algorithm, in situations where the system maintenance mode or communication load exceeds a preset threshold, considering the processing resources when an event occurs, non-urgent events including a slight temperature rise or recurring minor anomalies are processed in batches after a preset time or stored in a waiting queue to respond sequentially after resources are recovered, thereby providing a smart scheduling processing method that goes beyond simple event response and considers system resources and state, including the system's operating state, communication delay, and whether it is in maintenance mode,It monitors the status of multiple system resources in real time, including network traffic load, processing queue length, and CPU / RAM usage, and executes an event processing scheduling algorithm that stores events in a delay queue or transfers them to asynchronous batch processing by considering the priority, risk, redundancy, and time sensitivity of the occurring events; when an event configured through the automatic selection function of the administrator response protocol occurs, it refers to the administrator settings or past response history stored in the storage unit (330) to select and perform customized response procedures according to region, time zone, and maintenance contract conditions; and when the risk of electric shock occurs, it selects and performs customized response procedures corresponding to the conditions of "Automatic call to Maintenance Team A" / "Warning only without shutdown in Region B" according to region, time zone, and maintenance contract conditions, thereby providing a policy-based automatic response system that considers not only the type of event but also the management environment; and in the case of complex events, by applying a multi-stage processing flow, when multiple causes including external impact, high temperature detection, and sudden decrease in output occur in the solar panel, it transmits an emergency notification in the first stage, initiates video streaming and saves logs in the second stage, and the local status information of the monitoring terminal (300) in the third stage The field response capability is enhanced by establishing a complex-stage response system for a single event, including automatic transmission to a smartphone (400), and the information provision module (325) performs the function of generating and outputting monitoring information, event information, alarm and navigation information provided to the manager through the smartphone (400), visually displays the event occurrence location, occurrence time, event type, and severity on the smartphone (400), displays event icons in a color or flashing manner according to the map location of each micro inverter (100), and is configured to output detailed data when the user touches or clicks, and provides a visualized dashboard such as real-time power generation, frequency of abnormal occurrence, temperature graph, and status history on the screen of the smartphone (400).A photovoltaic micro-inverter event management system characterized by providing related camera footage, analysis reports, or maintenance guide information depending on the event. Claim 2 In claim 1, the internal image sensor is installed on one side of the interior of the micro-inverter (100) and photographs the interior according to a control signal from the control unit (320) through the gateway (200); the motion detection image sensor is installed on one side of the exterior of the micro-inverter (100) and is electrically connected to the control unit (320) to perform photography when a human body is detected according to a control signal from the control unit (320); the air quality sensor is installed on one side of the interior of the micro-inverter (100) and measures fine dust in the internal air of the micro-inverter (100) according to a control signal from the control unit (320) through the gateway (200); the heat detection sensor is installed on one side of the interior of the micro-inverter (100) and measures the internal and external temperatures of the micro-inverter (100) according to a control signal from the control unit (320) through the gateway (200); and the external air flow detection sensor is installed on one side of the exterior of the micro-inverter (100). A solar power generation micro inverter event management system characterized by measuring the amount of outside air according to a control signal from a control unit (320), and an impact sound sensor installed on one side of the outer surface of the micro inverter (100), and detecting the sound of an external impact applied to the micro inverter (100) according to a control signal from the control unit (320) through a gateway (200). Claim 3 A solar power generation micro-inverter event management system according to claim 1, wherein the control unit (320) further comprises a monitoring module (322); the monitoring module (322) monitors the operating status and sensor status of the micro-inverter (100) in real time, evaluates the health status of the entire system through items such as normal operation, abnormal signs, communication status, power generation status, and sensor responsiveness, accumulates and records power generation information and status information collected for each micro-inverter (100), generates a pre-diagnosis and alarm signal in conjunction with the event analysis module (323) when it deviates from a reference deviation, and performs anomaly detection within the cluster or identification of an abnormally operating inverter through relative comparative analysis among a plurality of micro-inverters. 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