KR102023465B1 - Defect diagnosis system and the method of photovoltaic power generation equipment using Internet of Things - Google Patents

Abstract

The present invention relates to a fault diagnosis system of a solar power generating device using Internet of Things (IoT) and a method thereof. The system comprises: a sensor unit operating by an executable program (application) downloaded through the Internet and monitoring fault or error occurrence of the solar power generating device; a central management server unit analyzing and storing information obtained through the IoT and information input from the sensor unit; a gateway unit comprising a wireless interface connecting the central management server unit and the sensor unit; a sensor sensing wireless network communicating with the central management server and providing a wireless network environment; a data collecting unit collecting data to be used for a diagnostic evaluation by receiving the weather environment data measured from the sensor unit and the data measured from a power plant measuring device; a diagnostic device capable of data communication with the data collection unit, analyzing the input data to diagnose the failure of the solar panel on the basis of the average generation amount and solar radiation amount for the solar module, and having a failure notification function; and a control unit receiving the information transmitted from the central management server unit to monitor the situation related to the information or notify the relevant organizations of the situation. Thus, the present invention can provide useful effects for efficient operation, maintenance and management of existing or new solar power plants.

Description

Fault diagnosis system and method of photovoltaic power generation using internet of things}

The present invention relates to a failure diagnosis system and a method of a photovoltaic device using the Internet of Things (IoT), and more specifically, to diagnose the abnormality and status of the photovoltaic device generating energy using sunlight. The present invention relates to a failure diagnosis system and a method of a photovoltaic device using the Internet of Things (IoT).

Alternative energy technologies are in the spotlight due to the depletion of fossil fuel, which accounts for most of the energy currently being used, and the reduction of greenhouse gases caused by climate agreements.

The solar power generation system is expanding due to the advantage that the installation size can be freely determined according to the needs regardless of the region in the context of diversification and diversification of energy sources.

In general, photovoltaic power generation system is to produce electricity by converting solar energy into direct current electricity, and a large number of solar cells generate electricity using a photovoltaic module arrayed by string connection. to be.

Such a photovoltaic power generation system generally includes a photovoltaic module array for generating direct current electricity by receiving sunlight, and a connection panel connected to collect direct current electricity generated by the photovoltaic module array for each unit string. And an inverter for converting all direct current electricity collected in the connection panel into alternating current electricity, and a distribution panel for sending alternating current electricity converted through the inverter to the electric field system.

Each of the photovoltaic module arrays is configured in such a way that most of the plurality of photovoltaic modules are connected in series, and each such array is connected in parallel in a connection panel.

In this case, when power generation is started in each array in which the plurality of solar modules are connected in series, current flows through each unit string, and at the same time, the connection panel collects and transmits current for each unit string, and is normally connected. The class monitors the current, voltage and power of each array.

However, in the conventional photovoltaic device, the aging of the photovoltaic device has been aging due to the passage of time due to the installation, and only the simple monitoring of the state of the device and the simple maintenance in case of failure of the facility are performed. In other words, there is no practical solution such as the absence of more specific maintenance and management.

In addition, the natural efficiency of each solar module is reduced due to UV exposure by sunlight, and the power generated by each solar module decreases due to various failure causes such as deterioration of solar cells. Doing.

Accordingly, it is possible to accurately diagnose and predict failures and abnormalities of photovoltaic power generation facilities, and to improve the efficiency according to maintenance and management while increasing operational efficiency for existing and new photovoltaic power generation facilities. There is a need for measures.

In addition, since light energy is converted into electric energy and used, power supply may not only occur depending on weather and insolation, but also there is a possibility of failure due to fire in using thermal energy. In order to solve the causes of failures and output degradation of various contaminants and internal circuits generated in the apparatus, researches on systems and methods for fault diagnosis are actively conducted.

Republic of Korea Patent Publication No. 2013-0106532 Republic of Korea Patent Publication No. 2016-0000485 Republic of Korea Patent Publication 2018-0059006

Therefore, the present invention was devised to solve such a problem, and utilizes the Internet of Things (IoT) to diagnose failures in real time to facilitate maintenance and management. The purpose of the present invention is to provide a failure diagnosis system and a diagnosis method of power generation apparatus.

In order to solve this problem, the present invention provides a fault diagnosis system for a photovoltaic device using the Internet of Things (IoT), the sensor unit and the IoT to monitor and recognize and input the occurrence or failure of the photovoltaic device Communication with the central management server unit and the central management server unit comprising a central management server unit for analyzing and storing the information obtained through the sensor and the information input from the sensor unit and a wireless interface connecting the central management server unit and the sensor unit A sensor collection wireless network providing an environment, a data collection unit for receiving weather environment data measured from the sensor unit and data measured from the power plant measuring device and collecting data for use in diagnostic evaluation, and a data communication unit with the data collection unit Possible, by analyzing the input data, Diagnose the failure of the photovoltaic panel based on the average generation amount and insolation amount of the module, and receive the information transmitted from the diagnostic device and the central management server unit with a failure notification function, to monitor the situation related to the information or It characterized in that it comprises a control unit that can notify the related organizations.

In addition, the information stored in the central management server is characterized in that the big data to be utilized as the data of the data through the big dataized information.

In addition, the sensor sensing wireless network is characterized in that the wireless mesh network method.

In addition, the gateway unit is characterized in that the relay function to enable the data communication of the data collection unit to collect data.

The data collecting unit may include a measuring unit measuring a temperature of the solar cell module and a data transmitting unit receiving and transmitting information regarding the temperature of the solar cell module from the measuring unit.

In addition, the central management server unit is used to predict the failure or abnormality of the photovoltaic device or the solar module in the future by matching the real-time change trend for each date and time zone with the real-time weather and the real-time measured power amount. It is characterized in that the prediction database for further provided.

Therefore, the present invention can predict and diagnose a failure at a site where a photovoltaic device is installed, rather than a simple remote monitoring method using a IoT, and efficiently operate existing or new photovoltaic power generation facilities. It can provide useful effects for performing maintenance and management.

1 is a photograph showing the configuration of a general photovoltaic device.
2 is a block diagram of a failure diagnosis system of a photovoltaic device using the Internet of Things according to the present invention.
Figure 3 is a photograph for explaining the wireless mesh network.
4 is a flowchart of a fault diagnosis method for a photovoltaic device using the Internet of Things according to the present invention.
5 is a configuration diagram of a failure diagnosis system according to a second embodiment of the present invention.
6 is a flowchart of a fault diagnosis monitoring method according to a second embodiment of the present invention;

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in detail. First, in adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are assigned to the same components as much as possible even if displayed on different drawings.

In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

1 is a photograph showing the configuration of a general photovoltaic device, Figure 2 is a block diagram of a failure diagnosis system of a photovoltaic device using the Internet of Things according to the present invention, Figure 3 is for explaining the wireless mesh network 4 is a flowchart of a fault diagnosis method for a photovoltaic device using the Internet of Things according to the present invention, FIG. 5 is a configuration diagram of a fault diagnosis system according to a second embodiment of the present invention, and FIG. It is a flowchart of the fault diagnosis monitoring method according to the second embodiment of the present invention.

The overall configuration of the present invention, as shown in Figure 1, monitors and recognizes the failure or error occurrence of the photovoltaic device (not shown), and transmits the fact that the sensor unit 10 and the Internet of Things (Internet) wireless connection between the central management server unit 20 and the central management server unit 20 and the sensor unit 10 for analyzing and storing the information obtained through the things and information input from the sensor unit 10. Gateway unit 30 made of an interface,

The sensor-sensing wireless network 40 and the meteorological environment data measured by the sensor unit 10 that communicate with the central management server unit 20 and provide a wireless network environment, and data measured by a measuring device (not shown) of a power plant. Data collection unit 50 and data collection unit 50 to collect the data to be used for the diagnostic evaluation is received, and the average power generation and solar radiation amount for the solar module (M) by analyzing the input data Based on the diagnosis of the failure of the photovoltaic device, and receiving the information transmitted from the diagnostic device 60 and the central management server 20 having a function to transmit, monitor the situation related to the information or It includes a control unit 70 that can notify the related organizations.

Before explaining the configuration of the present invention, it is to be noted that the executable program (app, app) downloaded through the Internet to be able to operate the present invention is laid on the user's or administrator's smartphone (5).

In addition, the word for each system appearing in the present specification means a module array, an inverter, a connection board, a distribution board, and the like that constitute the photovoltaic device. Since the element is a well-known configuration, it will not be shown in the drawings.

The sensor unit 10 is installed in the field to measure the meteorological environment of the equipment (array, distribution panel, connection panel, etc.) for each system of the photovoltaic device, and operates by wireless communication such as Bluetooth, beacon, etc. Works with the Internet of Things (IoT) mentioned in

The sensor unit 10 includes a plurality of sensors and respective data (environmental data, weather data) for measuring the weather environment factors of temperature, humidity, solar radiation, wind speed of the photovoltaic device. As the types of the sensors, a temperature sensor, a humidity sensor, an insolation sensor, a wind speed sensor, or the like is used, and it is possible to design to be movable.

The central management server 20 analyzes and stores the information obtained through the Internet of Things and the information input from the sensor unit 10, and analyzes and stores the obtained information and the input information. And the software and algorithm which can control is mounted inside.

It analyzes, stores and controls various information coming from sensors in the field while overseeing IoT facilities in a certain specific space (in the present invention, the place where the photovoltaic device is installed and its adjacent area) using a PC or a smart phone. Software and algorithms that can be used continuously accumulate information and use it as data.

Therefore, the central management server unit 20 integrates and manages all the information input from the sensor unit 10 and if the failure or abnormality is predicted and diagnosed based on the information, an error occurs in the user's or administrator's mobile phone 5. It also serves to send messages in real time.

In addition, the sensor unit 10 and the central management server unit 20 are connected to each other through a wireless interface through the gateway unit 30.

The interface is provided with an interface card such as a serial, parallel, or PCI system capable of data communication with each other through a sensor-sensing wireless network 40 as well as a wireless LAN.

This is the gateway unit 30 is to make the two-way communication between the sensor unit 10 and the central management server unit 20 effectively and to ensure the correct operation of the sensor unit 10.

In addition, the gateway unit 30 is connected to the central management server unit 20, as well as the general-purpose gateway to relay information and transmission and reception for the IoT service between the sensor unit 10 and the user's smart phone (5) As a microprocessor, the sensor unit 10 transmits or receives information for the IoT service to the sensor unit 10, and transmits the information for the IoT service to the smartphone 5 or the smartphone ( 5) receiving the information from the sensor-sensing wireless network 40 to communicate with the sensor unit 10 to transmit and receive information for the IoT service and the central management server in conjunction with the smart phone (5) Communication with the unit 20 provides a service for transmitting and receiving information for the IoT service.

The gateway unit 30 functions to relay data to enable data communication with the data collection unit 50 to be described below.

In particular, since the gateway unit 30 is based on a LoRa (Long Range) wireless communication method, a communication base station network is not required separately, and low-power wireless communication may be enabled to provide reliability and expandability of data transmission.

The sensor sensing wireless network 40 communicates with the central management server 20 in both directions and provides a wireless network environment. The bidirectional communication is a system capable of exchanging information with each other like a telephone. That is, the sensor-sensing wireless network 40 provides a wireless network environment to enable multi-connection between the sensor unit 10 and the central management server unit 20 to enable organic and efficient communication with each other.

In more detail, the sensor-sensing wireless network 40 applies a wireless mesh network method as shown in FIG. 3. Hereinafter, the mesh network method will be described. Briefly explain.

The existing wired network environment is called an access point (AP), and all APs are connected by wire by connecting signals through a repeater or a wireless router. However, when only a representative AP is connected by wire, the mesh network is a method in which wireless communication routers serving as antennas like a conventional wireless communication base station become mesh nodes and wirelessly connect all sections. Thus, by overcoming the limitations of the existing WLAN, the user can use the organic network in a similar procedure to accessing Wi-Fi.

In addition, the sensor-sensing wireless network 40 serves to wirelessly transmit data to the central management server unit 20 as a configuration for enabling wireless communication with the failure prediction data and the failure diagnosis data.

The data collection unit 50 includes the solar radiation data of the place where the meteorological environment data measured by the sensor unit 10 and the photovoltaic device measured from the measuring device (not shown) of the photovoltaic device are installed (the date of insolation amount). And real-time change amount according to time slot) to collect data to be used for diagnostic evaluation. The data may preferably include data suitable for the local and geographical characteristics of the place where the photovoltaic device is installed. The collection of data is also to collect data in a scalable manner in a sensor network method.

That is, by receiving the meteorological environment data of each system measured by the sensor unit 10 and the measured power generation data of the photovoltaic device, collect data to be used for failure diagnosis evaluation of each system and convert the collected data into digital values. To the central management server 20.

The central management server unit 20 generates a storage unit (not shown) having a database to be used as comparison data for failure prediction or failure diagnosis, and includes an MCU (Micro Controller Unit) (not shown) to control them as a whole.

Furthermore, the central management server unit 20 corresponds to the real-time change trend for each date and time zone and the real-time weather and the real-time measured power amount, so that the failure of the photovoltaic device or the solar module M in the future A prediction database (not shown) is also provided for use in predicting abnormality.

Furthermore, the data collecting unit 50 receives information about the temperature of the solar cell module M from the measuring unit 51 measuring the temperature of the solar cell module M and the measuring unit 51. And a data transmitter 52 for transmitting.

The measuring unit 51 may measure the state of the solar cell module (M) using various sensors (not shown), and measure the temperature of the module in real time by installing a temperature sensor in each cell constituting the module. You can do it. In addition, the measurement unit 51 can measure various factors such as solar radiation, output voltage, current, and climate environment, which can be selectively measured by introducing various information measuring means according to the intention of the designer or the administrator.

The diagnostic apparatus 60 is capable of data communication with the data collector 50 described above and analyzes the input data to determine whether the solar light is broken based on the average generation amount and the solar radiation amount of the solar module M. Diagnose and notify failures.

The diagnostic apparatus 60 loads each meteorological environment data and power generation data collected from the data collection unit 50 and a database of the central management server 20 storage unit, and stores the average generation amount stored in advance. It is a configuration that has a program to check and analyze the abnormality of each system of the photovoltaic power generation facilities and diagnose the failure by comparing with the average solar radiation.

Data belonging to the database of the storage unit is data for the region where the photovoltaic device is installed, and is a record of time zone data.

The control unit 70 receives information transmitted from the central management server unit 20, and monitors a situation related to the information or notifies a related organization.

In this case, the central management server unit 20 receives the data transmitted from the smartphone 5 and receives the information generated based on the received data to the control unit 70, the control unit 70 Inform the received information to the administrator to transmit the information to the screen of the smart phone (5) to monitor.

Hereinafter, with reference to the drawings will be described the operation relations and effects of the failure diagnosis system 100 of the photovoltaic device using the Internet of Things (IoT) according to the present invention.

As shown in FIG. 2, the central management server unit 20 analyzes, stores, and controls various information coming from the sensor unit 10 while collectively managing an Internet of Things (IoT) facility located in a specific space using a PC or the like. Do

In addition, the central management server unit 20 stores all the information coming through the sensor unit 10 to the big data. Through data mining by updating data obtained in the field as described above, it can be utilized as data information or data through big dataized information, and more accurate diagnosis of failure or abnormal condition of photovoltaic device The maintenance can be perfect.

The gateway unit 30 is connected to the sensor sensing wireless network 40 through an interface between the sensor unit 10 and the central management server unit 20. The sensor-sensing wireless network 40 is the central management server unit 20 is a two-way communication and a wireless mesh network.

Referring to FIG. 3, the wireless mesh network method will be briefly described.

In general, it is a typical WLAN environment that a wireless AP such as a notebook PC or a PDA can be used for a device called a wireless access point (APP) using a wireless frequency of 2.4 GHz.

In detail, the wireless section is a wireless section only between the AP and the notebook terminal, and the system (Switch) that sends and receives actual data with the AP is connected by wire. (Figure 1)

Then, when the wireless mesh network applied in the present invention is introduced here, it is changed as shown in (Figure 2) on the right. At this time, a wireless constituent network, called a mesh node, instead of a cable connected to an AP enters the wireless network.

Therefore, the sensor sensing wireless network 40 applied in the present invention is connected to the sensor unit 10 and the central management server unit 20 or the temperature of each sensor (sensors of the sensor unit 10 and the measuring unit 51). Between the sensor, etc., the smart phone 5 and the controller 70 is to serve to multi-party connection. In other words, based on the Internet of Things (IoT) it is possible to determine the failure of the photovoltaic device through a real-time wireless network.

Accordingly, the central management server unit provides a wireless network environment on the basis of the Internet of Things (IoT) and receives and analyzes the status and information of the photovoltaic device unit due to bidirectional communication with the central management server unit 20. The organic and integrated big data of (20) becomes possible.

In the server unit 10, the temperature and humidity of the photovoltaic device. When measuring meteorological factors such as insolation and wind speed, the built-in environmental data is compared with the weather data.

The server unit 10 stores the comparison or analysis record as described above and transmits it to the central management server unit 20.

The measuring unit 51 formed in the data collecting unit 50 measures the temperature of the solar cell module M and transmits information about the measured temperature to the data transmitting unit 52. The measurement unit 51 may measure peripheral information such as output voltage, solar radiation amount, current, etc. of the solar cell module M as necessary.

The data transmission unit 52 receives the above-described information from the measurement unit 51 and transfers the information to the central management server unit 20. The information is the weather environment data and the power generation data and the database contents of the storage unit, by generating big data through data mining can be utilized for the maintenance and management of the photovoltaic device.

The diagnostic apparatus 60 compares the information transmitted from the central management server unit 20 with a temperature above a threshold temperature or retrieves the weather environment data and power generation data received from the sensor unit 10 and the contents of the database of the storage unit. Analyze the power generation of the photovoltaic device, and compare and analyze the expected power generation and the actual power generation to output the data to predict the failure. If an abnormal diagnosis is expected in the above-described process, the controller 70 notifies.

Then, the control unit 70 also notifies the fact to the administrator's smartphone 5 by a notification means such as a text message or Kakao Talk, and the failure or abnormality diagnosis on the screen of the smartphone 5 Display the affected system area and send it for identification.

Hereinafter, a failure diagnosis method of a photovoltaic device using the Internet of Things (IoT) according to the present invention will be described with reference to the drawings. The description overlapping with the embodiment of the configuration and operation will be omitted to some extent.

First, photovoltaic power generation in the photovoltaic device. (Step 1)

Next, the amount of power and the temperature of the module M of the photovoltaic device are measured in real time. (Second step) The measurement of the module M is performed by the sensor unit 10 or the data collector 50. Run on the temperature sensor.

When the sensor unit 10 transmits the information to the central management server unit 20, the information is stored and made into data. (Step 3)

In the third step, the information reflects various factors such as insolation, output information, current, and climate environment.

This is a consideration when analyzing the information by updating the data as big data of the photovoltaic device through data mining.

The sensor unit 10 detects the amount of solar radiation and the temperature of the photovoltaic module (M) in a place where the photovoltaic device is installed in real time and transmits it to the central management server unit (20). (Step 4)

 That is, the sensor unit 10 includes average meteorological environment data of temperature, humidity, solar radiation, wind speed, etc. of the equipment for each system, and average power generation data such as voltage, current, and power generation amount. After performing such a measurement, the sensor unit 10 transmits the information to the central management server unit 20.

The central management server unit 20 analyzes the information transmitted from the sensor unit 10 in the fourth step, outputs the real-time measured power amount and the calculated real-time power generation estimated amount of the photovoltaic device, and the expected power generation amount And compare and analyze the actual measured power generation again to prepare for prediction of failure or abnormality and transmits it to the diagnostic apparatus (60). (Step 5)

That is, the fifth step is to generate and output data for estimating the failure of each system of the photovoltaic device through the prediction.

The diagnostic device 60 retransmits the fault diagnosis data, the weather environment data, and the power generation data output by the comparison or analysis in the fifth step to the central management server unit 20, and subsequently maintains and maintains the photovoltaic device. This is for reference in management. (Step 6)

When the diagnosis device 60 outputs an abnormal diagnosis through comparison and analysis in the step, the diagnosis device 60 transmits an abnormal part of each system of the photovoltaic device to the control unit 70.

The control unit 70 receiving the information on the abnormal part of each system from the diagnosis device 60 transmits the information to the user's or administrator's smartphone 5. (Step 7)

That is, the control unit 70 is the information of the abnormal part is transmitted to the smart phone 5 of the user or administrator in the manner of a text message or KakaoTalk. At the same time, the control unit 70 can block the power generation operation of the photovoltaic device according to the weight of the abnormal site information.

The smartphone 5 receiving the information is displayed on the screen of the smartphone 5 where the abnormal diagnosis is generated so that the user or the viewer can check and view it. (Eighth step) As mentioned above, The smartphone 5 is equipped with an app that can execute this operation.

Therefore, the user or administrator can monitor in real time through the screen displayed through the smart phone 5, as well as the amount of power generation of the photovoltaic device in real time through the data output through the diagnostic device (60) You can monitor statistical information such as voltage, current, and temperature.

Hereinafter, as a second embodiment of a diagnosis system and method for diagnosing a photovoltaic device using the Internet of Things (IoT) of the present invention, a failure diagnosis monitoring system and method of the photovoltaic device according to the present invention will be described with reference to FIGS. 5 and 6. Will be described. Description of the duplicated content with the above-described embodiment will be omitted.

For reference, the diagnosis system 100 ′ of the monitoring system according to the second embodiment is a modification of the diagnosis system 100 according to the embodiment described above into another form.

5 is a fault diagnosis system and a monitoring method of the fault diagnosis system 100`, the fault diagnosis system 100` is composed of an input unit 300 for inputting a voice signal, the system 100` The main control unit (S) for controlling the), the amplifier 400 for amplifying the voice signal input from the input unit 300, each of the audio signal amplified from the amplifier 400 under the control of the main control unit (S) The interface board 500 is distributed to the speaker 200, and the output unit 200 includes one or more speakers for reproducing the voice signal amplified by the amplifier 400.

Test components (TP-a, TPa ', TP-b, TP-b', TP-c, TP-c ', and TP-d) as shown in FIG. 5 in each component of the diagnostic system 100` as described above. Will install

Test points installed as shown in FIG. 5 (TP-a, TP-a ', TP-b, TP-b', TP-c, TP-c ', TP-d) are connected to the diagnostic device interface 110, respectively. The diagnostic device interface 110 collects information transmitted from each test point (TP-a, TP-a ', TP-b, TP-b', TP-c, TP-c ', TP-d). It is transmitted to the diagnostic device control unit 120.

Thereafter, the diagnostic apparatus control unit 120 transfers information from each test point (TP-a, TP-a ', TP-b, TP-b', TP-c, TP-c ', TP-d). It is determined in the order as shown in Figure 6 to diagnose the failure of the photovoltaic device.

Referring to FIG. 6, in order to monitor the failure diagnosis, a step (A) of checking the reproduction abnormality of the output unit 200, the test points TP-a, TP-a ', TP-b, and TP-b (B) detecting a signal undetected portion of ', TP-c, TP-c', TP-d, and reaching a signal at a signal line of the undetected portion, than a test point TP of the undetected portion (C) checking signal inputs of adjacent test points (TP) in the order of rapidity, and determining abnormal components between the test point (TP) from which the signal is confirmed and the test point (TP) of the undetected portion of the signal. In step D, the abnormal component and the signal undetected test point TP are reported.

In addition, if a plurality of signal undetected test points TP are detected in one signal line, the diagnostic apparatus controller 120 inputs a check signal a to the test point TP having the fastest signal arrival order (F). ), The step (G) of checking the presence or absence of input of the check signal (a) of the remaining test points (TP) is continued to the step (D) of determining the abnormal component.

For example, referring to FIG. 5, if the signal undetected part is the test point TP-c, the signal delivery sequence is the input unit 300, the main control unit S, the amplifier 400, and the output unit 200. In this case, the signal input sequence of the adjacent test point TP-b 'is faster than the test point TP-c.

If the signal of the test point TP-b 'is normally input, since the input signal is lost in the amplifier 400, the failure site becomes the amplifier 400, and the diagnostic device control unit 120 determines that the signal is lost. Reporting with the detected test point (TP-c) and transmits the text message (SMS), voice message (VMS) or cacao to the administrator's smartphone (5`) via the transmitter 130, and display the diagnostic result The fact is output to 140.

As another example, if the signal undetected portion is the test point (TP-b '), the signal delivery sequence may include the input unit 300, the main control unit S, the amplifier 400, the interface board 500, and the output unit 200. ), It is checked whether the signal input of the adjacent test point (TP-b) is faster than the test point (TP-b ').

If the signal of the test point TP-b is normally input, since the input signal is lost in the wire connecting the test point TP-b 'and the test point TP-b, the failure site is tested. It becomes a wire between the point TP-b 'and the test point TP-b, and the diagnostic device controller 120 reports the undetected test point TP-b' together with the transmission unit 130. The text message, KakaoTalk, or VMS is transmitted to the manager by the smartphone 5`, and the diagnostic result is displayed on the display device 140.

As another example, if a plurality of undetected test points TP are detected in one signal line (TP-b, TP-b ', TP-c, and TP-c'), the diagnostic apparatus controller 120 may output a signal. The check signal a is input to the test point TP-b having the fastest arrival order, and whether the check signal a of the remaining test points TP-b ', TP-c, and TP-c' is input. You will be confirmed.

That is, if the check signal (a) of the remaining test points (TP-b ', TP-c, TP-c') is normally detected, the remaining part is determined to operate normally, the signal to the test point (TP-b) Determining the main control unit (S) to send as a failure site, it is also sent to the administrator through the transmission unit 130 via a text message or VMS or KakaoTalk, and outputs it to the diagnostic result display device 140.

As described above, the above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may vary without departing from the essential characteristics of the present invention. Modifications, changes and substitutions will be possible.

Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are not intended to limit the technical spirit of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by the embodiments and the accompanying drawings. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

5, 5`: smartphone
10: sensor unit 20: central management server unit
30: gateway unit 40: sensor detection wireless network
50: data acquisition unit 51: measurement unit
52: data transmission unit 60: diagnostic device
70: control part 100, 100`: failure diagnosis system
M: Solar Module
S: Main control part 110: Diagnostic device interface
120: diagnostic unit control unit 130: transmission unit
140: diagnosis result display device 200: output unit
300: input unit 400: amplifier
500: interface board

Claims (7)

In the fault diagnosis system of the photovoltaic device using the Internet of Things (IoT),
Interlocked with the Internet of Things, including a sensor for measuring the temperature, humidity, solar radiation, weather environment factors of the wind speed and environment and weather data, and monitors and recognizes the occurrence of failure or error Sensor unit;
The storage unit analyzes and stores the information obtained through the Internet of Things and the information input from the sensor unit, and generates a storage unit having a database used as comparative data in predicting failure or diagnosis, and converts the stored information into big data to make the big data. Central management server unit for utilizing as a data of the data through the received information, and if the failure or abnormality is predicted diagnosis based on the information, sending an error message in real time to the mobile phone of the user or administrator;
A gateway unit having a wireless interface connecting the central management server unit and the sensor unit to collect data to enable data communication of the data collecting unit;
The wireless communication system is provided with a mesh node system for wirelessly transmitting data to the central management server in a configuration that communicates with the central management server, provides a wireless network environment, and enables wireless communication with failure prediction data and failure diagnosis data. Sensor network based on mesh network;
The central management server converts the collected data into digital values by collecting meteorological environment data of each system measured from the sensor unit and measured power generation data of the photovoltaic device, and collecting data to be used for fault diagnosis of each system. A data collection unit for transmitting to the unit;
A diagnostic apparatus capable of data communication with the data collection unit and analyzing the input data to diagnose and transmit a failure of the solar module based on the average generation amount and solar radiation amount of the solar module;
A failure diagnosis system including a control unit which receives information transmitted from the central management server unit and monitors a situation related to the information or notifies a related organization; And
The system for monitoring the fault diagnosis system
An input unit for inputting a voice signal, a main control unit for controlling the system,
An amplifier for amplifying a voice signal input from the input unit;
An interface board for distributing the amplified voice signal from the amplifier to each speaker under the control of the main controller;
System for fault diagnosis of photovoltaic devices using the Internet of Things (IoT), characterized in that it comprises an output consisting of one or more speakers for reproducing the voice signal amplified by the amplifier.
delete delete delete The method of claim 1,
The data collector includes a measuring unit measuring a temperature of the solar cell module and a data transmitting unit receiving and transmitting information on the temperature of the solar cell module from the measuring unit. Fault diagnosis system of photovoltaic device.
The method of claim 1,
The central management server unit corresponds to the real-time change trend for each date and time zone and the real-time weather and the real-time measured power amount, to be used to predict the failure or abnormality of the photovoltaic device or solar module in the future. Failure diagnosis system for a photovoltaic device further comprising a prediction database.
In the fault diagnosis method of the photovoltaic device using the Internet of Things (IoT),
A first step of performing photovoltaic power generation in a photovoltaic device;
A second step of measuring in real time the amount of power of the module of the solar cell apparatus;
Transmitting information from the sensor unit to the central management server unit to store the information and convert the data into data;
A fourth step of sensing, by the sensor unit, the amount of insolation and the temperature of the photovoltaic module in a place where the photovoltaic device is installed in real time;
A fifth step in which the central management server predicts a failure or abnormality by comparing the measured amount of power in real time with the calculated real-time estimated amount of photovoltaic power generation;
In the diagnostic apparatus, a sixth step of transmitting fault diagnosis data, meteorological environment data, and power generation data output by comparison or analysis to the central management server and converting the data into big data for use in maintenance and management;
A control unit which has received the information on the abnormal part of each system from the diagnosis apparatus, transmitting the information to a smart phone of a user or an administrator;
In the smartphone, when the information is an abnormal diagnosis, an error diagnosis method of a solar power generation apparatus using the Internet of Things, characterized in that it comprises an eighth step of displaying the area where the abnormal diagnosis occurred on the screen of the smartphone.

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