TWI645663B - Abnormal judgment method and system for power generation performance of solar energy equipment - Google Patents

Abstract

The invention relates to an abnormality judging method and system for generating power efficiency of a solar energy device, and the abnormality judging method is executed by a data processing module, comprising the steps of: receiving a first power generation data; receiving a predicted power generation data; and sequentially determining the first power generation Whether the difference between the complex first power generation quantity in the data and the complex predicted power generation quantity in the predicted power generation data exceeds a data abnormality critical value, and whether it exceeds the data abnormality critical value for a specific time. When the difference between the first power generation amount and the predicted power generation amount continues to exceed the data abnormality threshold value for a specific time, it is determined that the power generation performance of the first solar energy device is abnormal. In this way, the situation of misjudgment can be eliminated, the accuracy of abnormal judgment can be improved, the risk of misjudgment can be reduced, and the risk of human waste can be reduced.

Description

Abnormal judgment method and system for power generation performance of solar energy equipment

The invention is an abnormality judgment method and system, in particular to an abnormality judgment method and system for power generation performance of a solar energy device.

With the development of science and technology, electric energy has become one of the indispensable energy sources for human beings today. However, most of the existing power generation methods are thermal power generation or nuclear power generation, and such power generation methods will pollute the environment. However, today's environmental awareness is gradually rising, so the proportion of green energy power generation is gradually increasing, and in green power generation, solar power generation is one of the major development trends. By continuously installing solar energy equipment in open areas or on the roof of buildings, a power generation case is established to gradually increase the amount of solar power generated. Generally speaking, a solar power generation company generates economic benefits by installing a large amount of solar energy equipment in a solar power generation power generation site, generating sufficient power generation, and generating electricity to the power company.

However, the installation of a large number of solar panels requires a large area. If it is installed in a densely populated area, the land price and rent are quite expensive, so that the cost is relatively increased and the solar power generation company is not able to survive. Therefore, general solar power generation power generation sites are usually located in remote areas to rent buildings roofs through lower rents, such as housing for raising poultry and livestock, or renting waste land to build a large number of solar energy equipment.

However, when the solar energy generated by the solar power generation power generation site is abnormal, although it is possible to obtain abnormal information on the power generation performance of the solar energy device through wireless communication, such as 3G or 4G mobile communication, it is impossible to know that the abnormal information is Misjudgment, or solar power equipment is really damaged. Therefore, it is still necessary to send someone to handle it. However, because the location of the case is often remote, it is not easy to travel by traffic. If a person is sent to handle it, it will take time and effort for the person to go back and forth, resulting in a lot of labor costs and time costs. In addition, if a person visits the case and finds no abnormality, it will result in waste of manpower. Therefore, when the power generation performance of solar energy equipment is abnormal, it is necessary to further improve the way of sending someone to handle it.

In view of the fact that the existing power generation site of solar power generation is remote, and if a special person is sent to handle the time-consuming and laborious shortcomings when an abnormality occurs, the present invention proposes an abnormality judgment method and system for generating power efficiency of a solar energy device, and improves the accuracy of the abnormality determination of the power generation efficiency of the solar energy device. Sex, reducing the risk of wasting manpower.

The abnormality determining method for the power generation performance of the solar device is performed by a data processing module, and the abnormality determining method for the power generation performance of the solar device includes the following steps: receiving a first solar device generated by a first case a power generation data; wherein the first power generation data of the first solar energy device includes a plurality of first power generation amounts, and each of the first power generation amounts respectively has a time sequence, and the time sequence of each of the first power generation amounts is continuous and not Repeating; receiving a predicted power generation data generated by a power generation quantity prediction module; wherein the predicted power generation data includes a plurality of predicted power generation quantities, and each of the predicted power generation amounts corresponds to a time sequence, and the time sequence corresponding to each of the predicted power generation amounts is Continuously and not repeating; sequentially determining whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time sequence exceeds a data abnormality critical value; when the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormality At a critical value, the first power generation amount is recorded as an abnormal power generation amount; whether the number of abnormal power generation amounts is plural; When the number of quantities is plural, it is determined whether the time sequence corresponding to the abnormal power generation amounts is continuous; when the time sequence corresponding to the abnormal power generation amounts is continuous, it is determined whether the number of consecutive abnormal power generation amounts exceeds a device abnormality The critical value; when the number of consecutive abnormal power generation exceeds the abnormal threshold of the device, determining that the power generation performance of the first solar device is abnormal, and generating an abnormality notification signal.

The abnormality judging system for generating power of the solar energy device comprises: a first solar energy device, a power generation quantity prediction module and a data processing module in a first case.

The data processing module is connected to the first solar energy device and the power generation quantity prediction module to receive the first power generation data generated by the first solar energy device and receive a predicted power generation data generated by the power generation quantity prediction module. The first power generation data of the first solar energy device includes a plurality of first power generation amounts, and each of the first power generation amounts respectively corresponds to a time sequence, and the time sequence of each of the first power generation amounts is continuous and not repeated. The predicted power generation data includes a plurality of predicted power generation quantities, and each of the predicted power generation amounts corresponds to a time sequence, and the time sequence corresponding to each of the predicted power generation amounts is continuous and not repeated.

The data processing module sequentially determines whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time sequence exceeds a data abnormality critical value. When the data processing module determines that the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormal threshold value, the data processing module records the first power generation amount as an abnormal power generation amount, and determines the abnormal power generation amount. Whether the number is plural. When the number of abnormal power generation amounts is plural, the data processing module determines whether the time sequence corresponding to the abnormal power generation amounts is continuous. When the data processing module determines that the time sequence corresponding to the abnormal power generation amounts is continuous, the data processing module further determines whether the number of the consecutive abnormal power generation amounts exceeds a device abnormality threshold. When the data processing module determines that the number of consecutive abnormal power generation exceeds the abnormal threshold of the device, the data processing module determines that the power generation performance of the first solar device is abnormal, and generates an abnormality notification signal.

The present invention compares the difference between the first power generation amount in the first power generation data and the predicted power generation amount in the predicted power generation data, determines whether the first power generation amount is the abnormal power generation amount, and further determines the abnormal power generation amount. Whether the corresponding time sequence is continuous. When the time sequence corresponding to the abnormal power generation amount is continuous and the continuous quantity exceeds the abnormal threshold value of the device, it is determined that the power generation performance of the first solar energy device is abnormal.

In this way, if the first solar energy device is misjudged due to a temporary weather condition abnormality or abnormal detection, although the first power generation amount generated by the first solar energy device is determined to be abnormal power generation amount, the situation is It's only temporary, so it won't last or last too long, and it will return to normal after a while. In other words, the present invention further determines whether the abnormal power generation amount continues for more than a specific time, in addition to determining whether the abnormal power generation amount is the result of the comparison with the predicted power generation amount, that is, determining the time sequence corresponding to the abnormal power generation amounts. Whether the continuous and continuous number exceeds the device anomaly threshold. In this way, the accuracy of the abnormal judgment is improved, the risk of misjudgment is reduced, and the risk of manpower wasted without any abnormality after the dispatch of the manpower to the case is reduced.

The technical means adopted by the present invention for achieving the intended purpose are further explained below in conjunction with the drawings and preferred embodiments of the present invention.

Referring to FIG. 1 , the present invention is a method and system for abnormally determining the power generation performance of a solar energy device. The method for determining the power generation performance of the solar device is performed by a data processing module, and includes the following steps: receiving a first power generation data generated by a first solar device of a first scenario (S101); wherein the The first power generation data of a solar energy device includes a plurality of first power generation amounts, and each of the first power generation amounts has a time sequence, and the time sequence of each of the first power generation amounts is continuous and not repeated; receiving a power generation quantity prediction a predicted power generation data generated by the module (S102); wherein the predicted power generation data includes a plurality of predicted power generation quantities, and each of the predicted power generation amounts corresponds to a time sequence, and the time sequence corresponding to each of the predicted power generation amounts is continuous and not repeated And determining whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time sequence exceeds a data abnormality threshold value (S103); when the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormality threshold At the time of the value, the first power generation amount is recorded as the abnormal power generation amount (S104); it is determined whether the number of abnormal power generation amounts is plural (S105); when the number of abnormal power generation amounts is plural And determining whether the time sequence corresponding to the abnormal power generation amount is continuous (S106); when the time sequence corresponding to the abnormal power generation amounts is continuous, determining whether the number of the consecutive abnormal power generation amounts exceeds a device abnormality threshold ( S107): When the number of the consecutive abnormal power generation amounts exceeds the abnormal threshold value of the device, determining that the power generation performance of the first solar energy device is abnormal, and generating an abnormality notification signal (S108).

The present invention compares the difference between the first power generation amount in the first power generation data and the predicted power generation amount in the predicted power generation data, determines whether the first power generation amount is the abnormal power generation amount, and further determines the abnormal power generation amount. Whether the corresponding time sequence is continuous. When the time sequence corresponding to the abnormal power generation amount is continuous and the continuous quantity exceeds the abnormal threshold value of the device, it is determined that the power generation performance of the first solar energy device is abnormal. In the preferred embodiment, the first power generation amount and the predicted power generation amount respectively include a power generation amount current value, and compare the first power generation amount in the first power generation data with the predicted power generation in the predicted power generation data. When the difference is the amount, the difference between the power generation amount current value of the first power generation amount and the power generation amount current value of the predicted power generation amount is compared.

In this way, if the first solar energy device is only due to a temporary weather condition abnormality or a misjudgment caused by an abnormality in detection, although the first power generation amount generated by the first solar energy device is determined as an abnormal power generation amount, due to these conditions It's only temporary, so it won't last or last too long, and it will return to normal after a while. That is, the present invention can determine whether the abnormal state lasts for more than a specific time, that is, whether the time sequence corresponding to the abnormal power generation amount is continuous and whether the continuous number exceeds the abnormal threshold value of the device to confirm the first solar energy device. Whether the operation is normal, whether it is necessary to send someone to overhaul. In this way, the accuracy of the abnormal judgment is improved, the risk of misjudgment is reduced, and the risk of manpower wasted without any abnormality after the dispatch of the manpower to the case is reduced.

In the preferred embodiment, the power generation quantity prediction module is based on historical data of the power generation performance of the solar energy device, such as the amount of power generation current, the amount of power generation voltage, and the meteorological data, such as the temperature and humidity during the time period. Rainfall rate, wind speed and other data are used to learn the neural algorithm, and the predicted power generation data is generated by the nearest neighbor algorithm.

For example, as shown in FIG. 2, the time line is taken as the horizontal axis, and the power generation value is taken as the vertical axis, and the first power generation amount and the predicted power generation amount change line diagram are drawn, wherein the solid line part represents The line graph of the first power generation amount changes with time, and the broken line portion represents a line graph of the predicted power generation amount as a function of time. When there is a time interval T1, there is a significant difference between the first power generation amount and the predicted power generation amount, and the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormal threshold value, but The significant difference between the first power generation amount and the predicted power generation amount returns to normal only after continuing for a while, and the abnormal power generation amount in the first time interval T1 should be falsely judged and the abnormality notification signal is not issued.

In the range of the second time interval T2, there is a significant difference between the first power generation amount and the predicted power generation amount, and a significant difference between the first power generation amount and the predicted power generation amount is in the second time interval T2 If the time sequence corresponding to the abnormal power generation amount is continuous and the continuous number exceeds the abnormal threshold value of the device, it is determined that the power generation performance of the first solar energy device is abnormal, and then the abnormality notification signal is sent, so that the manager can dispatch Go to the disposal.

As shown in FIG. 3, when the data processing module generates the abnormality notification signal, the abnormality notification signal 101 is further sent to the user interface of the administrator's electronic device 100 and displayed, thereby notifying the administrator of the first The power generation efficiency of solar energy equipment should be abnormal, and the manager can be notified of the period during which the abnormal situation occurs, so that the manager can send someone to handle the abnormal situation.

In addition, as shown in FIG. 1 , when the difference between the first power generation amount and the predicted power generation amount does not exceed the data abnormal threshold value, the data processing module determines that the power generation performance of the first solar energy device is normal (S1041). ).

When the number of abnormal power generation amounts is not plural (ie, a single one), the data processing module determines that the power generation performance of the first solar power generation module is normal (S109). Or when the time sequence corresponding to the abnormal power generation amount is discontinuous, the data processing module determines that the power generation performance of the first solar energy device is normal (S109). Or when the number of consecutive abnormal power generation amounts does not exceed the abnormal threshold value of the device, the data processing module determines that the power generation performance of the first solar energy device is normal (S109).

Further, referring to FIG. 4, in the preferred embodiment, the method for judging the abnormality type of the power generation performance of the solar device further includes the following steps: when determining the first solar device of the first case When the power generation performance is abnormal, the plurality of predicted power generation amounts in the predicted power generation data corresponding to the time sequence corresponding to the continuous abnormal power generation amount and the time sequence corresponding to the consecutive abnormal power generation amounts are Calculating a first average different ratio value and a second average different ratio (S110); determining an abnormal type of the first solar energy generating performance according to the first average different ratio and the second average different ratio (S111) .

The data processing module is configured to determine that the power generation performance of the first solar energy device is abnormal, and generate an abnormality notification signal, further based on the power generation performance loop data of the first solar energy device, and the predicted power generation amount in the predicted power generation data. Comparing, and determining an abnormal type of power generation performance of the first solar energy device according to the comparison result, that is, the first average different ratio value and the second different ratio.

In the preferred embodiment, the first power generation amount in the first power generation data of the first solar energy devices and the abnormal circuit power generation amount in the power generation amount prediction module respectively include a power generation amount current value. And the first average aspect ratio is calculated according to the following formula:

;

among them For the first mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of generated current for the continuous abnormal power generation, The power generation amount current value of the complex predicted power generation amount corresponding to the time sequence corresponding to the continuous abnormal power generation amount.

In addition, the first power generation amount and the predicted power generation amounts further include a power generation voltage value. And the second average aspect ratio is calculated according to the following formula:

;

among them For the second mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of power generation voltage for the continuous abnormal power generation, The power generation voltage value of the complex predicted power generation amount corresponding to the time sequence corresponding to the continuous abnormal power generation amount.

In another preferred embodiment, the complex predicted power generation amount may be replaced by a plurality of power generation data generated by other solar energy devices in the same case, as shown in FIG. 5, the abnormal type determination method of the solar energy generation performance The system further includes the following steps: when it is determined that the power generation performance of the first solar energy device of the first case is abnormal, receiving the second power generation data generated by the second solar device of the first case (S110a); The second solar energy device has the same device capacity as the first solar energy device, and the second power generation data of the second solar energy device includes a plurality of second power generation amounts, and each of the second power generation amounts respectively corresponds to a time sequence, and The time sequence corresponding to each of the second power generation amounts is continuous and not repeated; and the time sequence corresponding to the continuous abnormal power generation amount, the consecutive abnormal power generation amounts, and the time sequence corresponding to the consecutive abnormal power generation amounts a plurality of second power generation amounts in the second power generation data, calculating a first average different ratio value and a second average different ratio (S111a); They are different and the second average ratio of n-isopropyl n-type ratio of the first abnormality determination device of the solar power generation efficiency (S112a).

In the preferred embodiment, the first average odd-ratio value and the second average-distance ratio are calculated in the same manner as above, but the complex predicted power generation of the predicted power generation data is generated by the second power generation data. The plural second power generation is replaced. That is to say, the second power generation amounts of the second power generation data include a power generation voltage value. The formula for calculating the first mean different ratio is as follows:

;

among them For the first mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of generated current for the continuous abnormal power generation, The power generation amount current value of the plurality of second power generation amounts corresponding to the time sequence corresponding to the continuous abnormal power generation amount.

In addition, the second power generation amounts of the second power generation data include a power generation voltage value. And the second average is proportional ratio is calculated as follows:

among them For the second mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of power generation voltage for the continuous abnormal power generation, The power generation voltage value of the plurality of second power generation amounts corresponding to the time sequence corresponding to the continuous abnormal power generation amount.

For example, please refer to FIG. 6A and FIG. 6B, wherein the solid line portion of FIG. 6A represents a line graph of the power generation amount current value of the first solar energy device with time, and the broken line portion represents the power generation amount of the second solar energy device. a line graph in which the current value changes with time, the solid line portion of FIG. 6B represents a line graph of the power generation voltage value of the first solar energy device as a function of time, and the broken line portion represents the voltage value of the power generation amount of the second solar energy device changes with time. a line graph, when the power generation current of the first solar power generation module is zero, and the power generation voltage rises, the first average different ratio Is 0, and the second average is proportional to the value Above a threshold, the type of anomaly that represents the power generation performance of the first solar device is that the entire field does not generate electricity.

Please refer to FIG. 7A and FIG. 7B , wherein the solid line portion of FIG. 7A represents a line graph of the power generation amount current value of the first solar energy device with time, and the broken line portion represents the power generation amount current value of the second solar energy device with time. a broken line graph, the solid line portion of FIG. 7B represents a line graph of the power generation voltage value of the first solar energy device as a function of time, and the broken line portion represents a line graph of the power generation voltage value of the second solar energy device as a function of time. When the generated current and the generated voltage of the first solar device decrease simultaneously, the first average is proportional to the value And the second mean different ratio Both will be smaller than the critical value, and the abnormal type representing the power generation performance of the first solar device is shading.

Please refer to FIG. 8A and FIG. 8B , wherein the solid line portion of FIG. 8A represents a line graph of the power generation amount current value of the first solar energy device with time, and the broken line portion represents the power generation amount current value of the second solar energy device with time. a broken line graph, the solid line portion of FIG. 8B represents a line graph of the power generation voltage value of the first solar energy device as a function of time, and the broken line portion represents a line graph of the power generation voltage value of the second solar energy device as a function of time. The first solar energy device reduces the power generation current, but when the power generation voltage rises, the first average is proportional value Less than the threshold, and the second average is proportional to Above this threshold, the type of anomaly that represents the power generation performance of the first solar device is a heat drop.

In this way, when the administrator receives the abnormal notification signal, the administrator can further receive the abnormal type of the power generation performance of the first solar device determined by the data processing module. Therefore, the manager can preliminarily determine the type of failure of the first solar energy device before dispatching the person to the first case to repair, and then can select a suitable maintenance personnel to go, and can notify the maintenance personnel to carry the relevant maintenance equipment. Avoiding the situation where personnel arrive at the site without carrying relevant maintenance equipment can further reduce the risk of wasting human resources.

Referring to FIG. 9 , the abnormality determining system of the solar power generation module includes a first solar energy device 11 , a power generation quantity prediction module 12 , and a data processing module 13 .

The data processing module 13 is connected to the first solar energy device 11 and the power generation amount prediction module 12 to receive the first power generation data generated by the first solar energy device 11 and receive the first power generation data generated by the power generation amount prediction module 12 Forecast power generation data. The first power generation data of the first solar energy device 11 includes a plurality of first power generation amounts, and each of the first power generation amounts respectively corresponds to a time sequence, and the time sequence of each of the first power generation amounts is continuous and not repeated. The predicted power generation data includes a plurality of predicted power generation quantities, and each of the predicted power generation amounts corresponds to a time sequence, and the time sequence corresponding to each of the predicted power generation amounts is continuous and not repeated.

The data processing module 13 sequentially determines whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time sequence exceeds a data abnormality threshold. When the data processing module 13 determines that the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormality threshold value, the data processing module 13 records the first power generation amount as an abnormal power generation amount, and determines the abnormality. Whether the number of power generation is plural. When the number of abnormal power generation amounts is plural, the data processing module 13 determines whether the time sequence corresponding to the abnormal power generation amounts is continuous. When the data processing module 13 determines that the time sequence corresponding to the abnormal power generation amounts is continuous, the data processing module 13 further determines whether the number of consecutive abnormal power generation amounts exceeds a device abnormality threshold. When the data processing module 13 determines that the number of the consecutive abnormal power generation amounts exceeds the abnormal threshold value of the device, the data processing module 13 determines that the power generation performance of the first solar energy device 11 is abnormal, and generates an abnormality notification signal. .

In addition, the abnormality determining system of the solar power generation module further includes a second solar device 14 of the first case.

The data processing module 13 is further connected to the second solar device 14 of the first case to receive the second power generation data generated by the second solar device 14 of the first case. The data processing module 13 is based on the continuous abnormal power generation amount, the time sequence corresponding to the continuous abnormal power generation amounts, and the plurality of second power generation amounts or predicted power generation corresponding to the time sequence corresponding to the consecutive abnormal power generation amounts. A quantity is calculated to calculate a first average out-of-normal ratio and a second average out-of-normal ratio.

The second power generation data of the second solar energy device 14 includes a plurality of second power generation amounts, and each of the second power generation amounts respectively corresponds to a time sequence, and the time sequence corresponding to each of the second power generation amounts is continuous and is not repeated.

The data processing module 13 further determines an abnormal shape of the power generation performance of the first solar device 11 according to the first average different ratio value and the second average different ratio.

In the preferred embodiment, the first power generation amount, the predicted power generation amounts, and the second power generation amounts further include a power generation amount current value and/or a power generation amount voltage value, respectively.

The calculation method of the first average different positive ratio and the second average different positive ratio is described in detail in the abnormality determination method of the solar power generation module of the present invention, and thus will not be described herein.

The above is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Although the present invention has been disclosed in the above preferred embodiments, it is not intended to limit the present invention. A person skilled in the art can make some modifications or modifications to equivalent embodiments by using the above-disclosed technical contents without departing from the technical scope of the present invention, but without departing from the technical solution of the present invention, according to the present invention. Technical Substantials Any simple modifications, equivalent changes and modifications made to the above embodiments are still within the scope of the technical solutions of the present invention.

100‧‧‧Electronic devices

101‧‧‧Anomaly notification signal

11‧‧‧First solar equipment

12‧‧‧Power Generation Forecasting Module

13‧‧‧Data Processing Module

14‧‧‧Second solar equipment

1 is a flow chart of a preferred embodiment of an abnormality determining method for power generation performance of a solar energy device according to the present invention. FIG. 2 is a schematic diagram of a broken line of the first power generation amount and the predicted power generation amount as a function of time. FIG. 3 is a schematic diagram of a display screen of an abnormality notification. 4 is a flow chart of a preferred embodiment of an abnormality determining method for power generation performance of the solar energy device of the present invention. FIG. 5 is a flow chart of another preferred embodiment of an abnormality determining method for power generation performance of the solar energy device of the present invention. Fig. 6A is a broken line diagram showing changes with time of the first power generation amount and the second power generation amount in the state where the entire field is not generated. Fig. 6B is a broken line diagram showing changes with time of the first power generation amount and the second power generation amount in the state where the entire field is not generated. Fig. 7A is a broken line diagram showing changes with time of the first power generation amount and the second power generation amount in the shaded state with time. Fig. 7B is a schematic diagram showing a broken line of the first power generation amount and the power generation voltage value of the second power generation amount as a function of time in a shaded state. Fig. 8A is a broken line diagram showing changes with time of the first power generation amount and the second power generation amount in the state of high temperature load reduction with time. Fig. 8B is a broken line diagram showing changes with time of the first power generation amount and the second power generation amount in the state of high temperature load reduction with time. 9 is a block diagram showing a preferred embodiment of an abnormality determining system for power generation performance of a solar energy device of the present invention.

Claims (10)

An abnormality determining method for generating power efficiency of a solar energy device is performed by a data processing module, and the abnormality determining method for generating power efficiency of the solar energy device comprises the following steps: receiving a first solar energy device generated by a first case a first power generation data, wherein the first power generation data of the first solar energy device includes a plurality of first power generation amounts, and each of the first power generation amounts respectively corresponds to a time sequence, and the time sequence of each of the first power generation amounts is continuous and Not repeating; receiving a predicted power generation data generated by a power generation quantity prediction module; wherein the predicted power generation data includes a plurality of predicted power generation quantities, and each of the predicted power generation amounts corresponds to a time sequence, and each of the predicted power generation amounts corresponds to a time sequence Continuously and non-repetitively; determining whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time sequence exceeds a data abnormality critical value; when the difference between the first power generation amount and the predicted power generation amount exceeds the data When the abnormal threshold value is used, the first power generation amount is recorded as an abnormal power generation amount; whether the number of the abnormal power generation amount is plural; When the number of power generation amounts is plural, it is determined whether the time sequence corresponding to the abnormal power generation amounts is continuous; when the time sequence corresponding to the abnormal power generation amounts is continuous, it is determined whether the number of consecutive abnormal abnormal power generation amounts exceeds one device The abnormality threshold value is determined when the number of the consecutive abnormal power generation amounts exceeds the abnormal threshold value of the device, and the power generation performance of the first solar energy device is abnormal, and an abnormality notification signal is generated. The method for determining the abnormality of the power generation performance of the solar energy device according to claim 1, further comprising the following steps: when determining that the power generation performance of the first solar energy device of the first case is abnormal, according to the continuous abnormal power generation amount And a time sequence corresponding to the continuous abnormal power generation amount and a complex predicted power generation amount in the predicted power generation data corresponding to the time sequence corresponding to the consecutive abnormal power generation amounts, and calculating a first average different ratio value and a second average difference a positive ratio; determining an abnormal type of power generation performance of the first solar device according to the first average different ratio value and the second average different ratio; wherein the first power generation amount and the predicted power generation amount respectively comprise a power generation current Value; wherein the first average aspect ratio is calculated according to the following formula: ; among them For the first mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of generated current for the continuous abnormal power generation, a power generation amount current value of the complex predicted power generation amount corresponding to the time sequence corresponding to the continuous abnormal power generation amount; wherein the first power generation amount and the predicted power generation amount further respectively include a power generation voltage value; the second average The odd ratio is calculated according to the following formula: ; among them For the second mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of power generation voltage for the continuous abnormal power generation, The power generation voltage value of the complex predicted power generation amount corresponding to the time sequence corresponding to the continuous abnormal power generation amount. The method for determining the abnormality of the power generation performance of the solar energy device according to claim 2, further comprising the step of: determining an abnormality type of the power generation performance of the first solar energy device according to the first average different ratio value and the second average different ratio. The method for determining the abnormality of the power generation performance of the solar energy device according to claim 1, further comprising the steps of: receiving the first case when determining that the power generation performance of the first solar device of the first case is abnormal a second electrical data generated by the second solar energy device; wherein the second power generation data of the second solar energy generating performance includes a plurality of second power generation amounts, and each of the second power generation amounts respectively correspond to a time sequence, and each of the The time sequence corresponding to the second power generation amount is continuous and not repeated; and the time sequence corresponding to the continuous abnormal power generation amount, the time sequence corresponding to the continuous abnormal power generation amounts, and the time sequence corresponding to the consecutive abnormal power generation amounts The first power generation amount, the predicted power generation amount, and the second power generation amount respectively comprise a power generation current value; wherein the first power generation amount and the second power generation amount respectively comprise a power generation amount current value; The first average aspect ratio is calculated according to the following formula: ; among them For the first mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of generated current for the continuous abnormal power generation, a power generation amount current value of the plurality of second power generation amounts corresponding to the time sequence corresponding to the continuous abnormal power generation amount; wherein the first power generation amount, the predicted power generation amounts, and the second power generation amounts further comprise a power generation The voltage value; wherein the second average is proportional value is calculated according to the following formula: ; among them For the second mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of power generation voltage for the continuous abnormal power generation, The power generation voltage value of the plurality of second power generation amounts corresponding to the time sequence corresponding to the continuous abnormal power generation amount. The method for determining the abnormality of the power generation performance of the solar energy device according to claim 4, further comprising the step of: determining the abnormal type of the power generation performance of the first solar energy device according to the first average different ratio value and the second average different ratio. An abnormality judging system for generating power efficiency of a solar energy device includes: a first solar energy device in a first case; a power generation amount prediction module; a data processing module connected to the first solar energy device and the power generation amount a prediction module, configured to receive the first power generation data generated by the first solar energy device and receive a predicted power generation data generated by the power generation quantity prediction module; wherein the first power generation data of the first solar energy device includes a plurality of first power generation amounts And each of the first power generation amounts respectively corresponds to a time sequence, and the time sequence of each of the first power generation amounts is continuous and not repeated; wherein the predicted power generation data includes a plurality of predicted power generation quantities, and each of the predicted power generation amounts corresponds to one Time sequence, and the time sequence corresponding to each predicted power generation quantity is continuous and not repeated; wherein the data processing module sequentially determines whether the difference between the first power generation quantity and the predicted power generation quantity corresponding to each time sequence exceeds a data abnormality threshold a value; and when the data processing module determines that the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormal threshold value, the data portion The module records the first power generation amount as an abnormal power generation amount, and determines whether the number of the abnormal power generation amount is plural; wherein when the number of the abnormal power generation amount is plural, the data processing module determines the abnormal power generation amount Whether the corresponding time sequence is continuous; and when the data processing module determines that the time sequence corresponding to the abnormal power generation amounts is continuous, the data processing module further determines whether the number of consecutive abnormal abnormal power generation exceeds a device abnormality threshold The data processing module determines that the power generation performance of the first solar device is abnormal and generates an abnormality notification signal when the data processing module determines that the number of consecutive abnormal power generation exceeds the abnormal threshold of the device. The abnormality judging system for generating power efficiency of a solar energy device according to claim 6, wherein: when the data processing module determines that the power generation performance of the first solar device is abnormal, the data processing module is configured according to the continuous power generation amount And calculating, by a time sequence corresponding to the consecutive power generation quantities, and a plurality of predicted power generation quantities corresponding to the time sequence corresponding to the consecutive power generation quantities, a first average different ratio value and a second average different ratio value; wherein the first The power generation amount and the predicted power generation amount respectively include a power generation current value; the first average different proportional value is calculated according to the following formula: ; among them For the first mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of generated current for the continuous abnormal power generation, a power generation amount current value of the complex predicted power generation amount corresponding to the time sequence corresponding to the continuous abnormal power generation amount; wherein the first power generation amount and the predicted power generation amount further respectively include a power generation voltage value; the second average The odd ratio is calculated according to the following formula: ; among them For the second mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of power generation voltage for the continuous abnormal power generation, The power generation voltage value of the complex predicted power generation amount corresponding to the time sequence corresponding to the continuous abnormal power generation amount. The abnormality judging system for generating power efficiency of the solar energy device of claim 7, wherein the data processing module further determines the abnormality type of the first solar energy device according to the first average different ratio value and the second average different ratio. The abnormality judging system for generating power efficiency of the solar energy device of claim 6, further comprising: a second solar device; wherein the second solar module is disposed in the first case; wherein the data processing module is further Connecting to the second solar energy device of the first case to receive the second power generation data generated by the second solar device of the first case; and the data processing module is configured according to the continuous abnormal power generation amount, the continuous The time sequence corresponding to the abnormal power generation amount and the plurality of second power generation amounts corresponding to the time sequence corresponding to the consecutive abnormal power generation amounts are calculated as a first average different ratio and a second average different ratio; wherein the second solar device The second power generation data includes a plurality of second power generation amounts, and each of the second power generation amounts respectively corresponds to a time sequence, and the time sequence corresponding to each of the second power generation amounts is continuous and not repeated; wherein the first power generation amounts are And the second power generation amounts respectively include a power generation current value; the first average different proportional value is calculated according to the following formula: ; among them For the first mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of generated current for the continuous abnormal power generation, The power generation amount current value of the plurality of second power generation amounts corresponding to the time sequence corresponding to the continuous abnormal power generation amount. The first power generation amount and the second power generation amount further respectively include a power generation voltage value; wherein the second average different proportional value is calculated according to the following formula: ; among them For the second mean different ratio, The total number of time sequences corresponding to the number of consecutive abnormal power generations, The amount of power generation voltage for the continuous abnormal power generation, The power generation voltage value of the plurality of second power generation amounts corresponding to the time sequence corresponding to the continuous abnormal power generation amount. The abnormality judging system for generating power efficiency of a solar energy device according to claim 9, wherein the data processing module further determines an abnormality type of the first solar energy device according to the first average different ratio value and the second average different ratio.