TW201944724A - Abnormality determination method and system of power generation efficacy of solar energy device enhance accuracy of abnormality determination to reduce risk of misjudgment - Google Patents

Abstract

The invention relates to an abnormality determination method and system of power generation efficacy of solar energy device. The abnormality determination method is executed by a data processing module and comprises the following steps: receiving a first power generation data; receiving a predicted power generation data; sequentially determining whether or not a difference between plural first power generations in the first power generation data and plural predicted power generations in the predicted power generation data exceeds in a data abnormality threshold, and whether or not it continuously exceeds in a specific time for the data abnormality threshold. When the differences between the first power generations and the predicted power generations continuously exceeds in the specific time for the data abnormality threshold, the method determines that power generation efficacy of a first solar energy device is abnormal. Accordingly, the invention can eliminate the possibility of misjudgment to enhance the accuracy in abnormality determination and to reduce the risk of misjudgment, thereby further reducing the risk of wasting labor forces.

Description

Method and system for abnormal judgment of power generation efficiency of solar equipment

The invention relates to an abnormality judgment method and system, in particular to an abnormality judgment method and system of solar power equipment power generation efficiency.

With the development of science and technology, electricity has become one of the indispensable energy sources for human beings today, but most of the existing power generation methods are thermal or nuclear power generation, and these types of power generation will cause pollution to the environment. However, nowadays, environmental protection awareness is gradually rising, so the proportion of green energy power generation is gradually increasing, and among green energy power generation, solar power generation is one of the major development trends. By continuously installing solar energy equipment in open areas or on the roofs of buildings, and establishing power generation cases, gradually increasing the amount of solar power generation. Generally speaking, a solar power generation company is located in a solar power generation case. Through a large number of solar equipment, a sufficient amount of power is generated, and the generated electricity is sold to the power company, thereby generating economic benefits.

However, setting up a large number of solar panels requires a large area. If it is set up in a densely populated area, land prices and rents are quite expensive, so the cost will be relatively high, and the solar power generation company will not be able to survive. Therefore, the general solar power generation case is usually located in a remote area to lease the roof of a building at a lower rent, such as a house for raising poultry and livestock, or lease waste land, thereby erecting a large number of solar equipment.

However, when the power generated by the solar equipment of the solar power generation site is abnormal, although the abnormal information of the power generation efficiency of the solar equipment can be obtained through wireless communication, such as 3G or 4G mobile communication, it is not possible to know that the abnormal information is Misjudgment, or solar power equipment is really damaged. Therefore, a special person must still be sent for processing. However, because the location of the crime scene is often remote, it is not easy to get to the traffic. If someone is sent to handle it, it will be time-consuming and labor-intensive, which will increase the labor and time costs. In addition, if a special person does not find an abnormality after going to the crime scene, it will cause a waste of manpower. Therefore, when there is an abnormality in the power generation efficiency of solar energy equipment, it is necessary to further improve the method of sending a special person to handle it.

In view of the remoteness of the existing solar power generation project site, if there is an abnormality, a special person will be sent to deal with the time-consuming and labor-intensive shortcomings. And reduce the risk of human waste.

The abnormality judgment method of power generation efficiency of solar equipment is executed by a data processing module, and the abnormality judgment method of power generation efficiency of solar equipment includes the following steps: A power generation data; wherein the first power generation data of the first solar 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 Repeat; receiving a predicted power generation data generated by a power generation prediction module; wherein the predicted power generation data includes a plurality of predicted power generation amounts, and each of the predicted power generation amounts corresponds to a time series, and each of the predicted power generation time series corresponds to Continuous and non-repeating; sequentially determining whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time series exceeds a data abnormal threshold; when the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormality When the threshold value is recorded, the first power generation amount is recorded as the abnormal power generation amount; it is determined whether the number of the abnormal power generation amount is a plurality; when the abnormal power generation amount is When the quantity is plural, it is determined whether the time sequence corresponding to the abnormal power generation quantities is continuous; when the time sequence corresponding to the abnormal power generation quantities is continuous, it is determined whether the continuous abnormal power generation quantity exceeds an equipment abnormality. Critical value; when the number of consecutive abnormal power generation amounts exceeds the equipment abnormal critical value, it is determined that the power generation efficiency of the first solar power device is abnormal, and an abnormality notification signal is generated.

The abnormality judgment system of the solar equipment power generation efficiency includes: a first solar equipment of a first case, a power generation prediction module and a data processing module.

The data processing module is connected to the first solar device and the power generation amount prediction module, so as to receive first power generation data generated by the first solar device and receive a predicted power generation data generated by the power generation amount prediction module. The first power generation data of the first solar device includes a plurality of first power generation amounts, and each of the first power generation amounts 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 amounts, and each of the predicted power generation amounts corresponds to a time series, and the time series corresponding to each of the predicted power generation amounts is continuous and not repeated.

The data processing module sequentially judges whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time series exceeds a data abnormal threshold. 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, 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 continuous abnormal power generation amounts exceeds a device abnormal threshold. When the data processing module determines that the number of consecutive abnormal power generation amounts exceeds the equipment abnormal threshold, the data processing module determines that the power generation efficiency of the first solar device is abnormal and generates an abnormal notification signal.

The present invention uses a 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 to determine whether the first power generation amount is the abnormal power generation amount, and further determines the abnormal power generation amounts. Whether the corresponding time sequence is continuous. When the time sequence corresponding to the abnormal power generation amounts is continuous and the continuous number exceeds the equipment abnormality threshold, it is determined that the power generation efficiency of the first solar energy device is abnormal.

In this way, if the first solar device is misjudged due to temporary weather conditions or abnormal detection, although the first power generation amount generated by the first solar device will be judged as an abnormal power generation amount, this condition It is only temporary, so it does not continue or last for too long, and it will return to normal after a period of time. That is, in addition to judging whether the abnormal power generation amount is abnormal using the comparison result with the predicted power generation amount, the present invention further determines whether the abnormal power generation amount continues for a specific time, that is, the time sequence corresponding to the abnormal power generation amounts is Whether the continuous and continuous number exceeds the equipment abnormal threshold. This will improve the accuracy of abnormal judgments, reduce the risk of misjudgments, and then reduce the risk of wasting manpower after discovering no abnormalities after dispatching manpower to the crime scene.

In the following, the technical means adopted by the present invention to achieve the intended purpose will be further explained in conjunction with the drawings and the preferred embodiments of the present invention.

Please refer to FIG. 1, the present invention is a method and system for judging abnormality of power generation efficiency of solar equipment. The method for abnormally judging the power generation efficiency of a solar device is executed by a data processing module and includes the following steps: receiving first power generation data generated by a first solar device in a first field (S101); The first power generation data of a solar 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 does not repeat; receiving a power generation amount prediction A predicted power generation data generated by the module (S102); the predicted power generation data includes a plurality of predicted power generation amounts, and each of the predicted power generation amounts corresponds to a time series, and the time series corresponding to each of the predicted power generation amounts is continuous and not repeated ; Sequentially determine whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time series exceeds a data abnormal threshold (S103); when the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormal threshold When the value is recorded, the first power generation amount is recorded as 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 When the time sequence corresponding to the abnormal power generation amounts is continuous (S106); when the time sequence corresponding to the abnormal power generation amounts is continuous, determining whether the number of continuous abnormal power generation amounts exceeds a device abnormal threshold ( S107); When the number of the continuous abnormal power generation amounts exceeds the equipment abnormality threshold, it is determined that the power generation efficiency of the first solar equipment is abnormal, and an abnormality notification signal is generated (S108).

The present invention uses a 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 to determine whether the first power generation amount is the abnormal power generation amount, and further determines the abnormal power generation amounts. Whether the corresponding time sequence is continuous. When the time sequence corresponding to the abnormal power generation amounts is continuous and the continuous number exceeds the equipment abnormality threshold, it is determined that the power generation efficiency of the first solar energy device is abnormal. In the preferred embodiment, the first power generation amounts and the predicted power generation amounts each include a power generation current value, and the first power generation amount in the first power generation data is compared with the predicted power generation in the predicted power generation data. When the difference in the amount of electricity is compared, the difference between the current value of the power generation amount of the first power generation amount and the current value of the power generation amount of the predicted power generation amount is compared.

In this way, if the first solar device is misjudged only because of temporary weather conditions or abnormal detection, although the first power generation amount generated by the first solar device will be judged as an abnormal power generation amount, due to these conditions It is only temporary, so it does not continue or last for too long, and it will return to normal after a period of time. That is, the present invention can confirm the first solar equipment by determining whether the abnormal state continues for more than a specific time, that is, whether the time sequence corresponding to the abnormal power generation amounts is continuous and whether the continuous quantity exceeds the equipment abnormal threshold. Whether the operation is normal and whether someone needs to be sent for maintenance. This will improve the accuracy of abnormal judgments, reduce the risk of misjudgments, and then reduce the risk of wasting manpower after discovering no abnormalities after dispatching manpower to the crime scene.

In this preferred embodiment, the power generation amount prediction module is based on historical data on the power generation efficiency of solar equipment, such as data on power generation current, power generation, and other meteorological data, such as air temperature, humidity, The rainfall rate, wind speed and other data are learned by a neural-like algorithm, and the predicted power generation data is generated by the nearest neighbor algorithm.

For example, please refer to FIG. 2, with time as the horizontal axis and power generation value as the vertical axis, the first power generation and the predicted power generation line chart are plotted. The solid line represents The line graphs of the first power generation amount changing with time, and the dashed lines represent the line graphs of the predicted power generation amount changing with time. When in a time interval T1, it can be seen that although there is a significant difference between the first power generation amount and the predicted power generation amount, it represents that the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormal threshold, but The obvious difference between the first power generation amount and the predicted power generation amount returns to normal only after a short duration, which indicates that the abnormal power generation amount in the first time interval T1 should be misjudged and the abnormal notification signal will not be 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 is continuous and the continuous quantity exceeds the abnormal threshold of the equipment, it is determined that the power generation efficiency of the first solar equipment is abnormal, and then the abnormal notification signal is issued, so that the manager can dispatch Dedicated person to deal with.

As shown in FIG. 3, when the data processing module generates the abnormality notification signal, it further sends and displays the abnormality notification signal 101 to the user interface of the electronic device 100 of the manager, thereby notifying the manager of the first There should be abnormal conditions in the power generation efficiency of solar energy equipment, and the administrator can be notified of the period during which the abnormal condition occurs, so that the manager can send someone to handle the abnormal condition.

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, the data processing module determines that the power generation efficiency of the first solar device is normal (S1041 ).

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

Further, please refer to FIG. 4. In the preferred embodiment, the method for judging the abnormal type of the power generation efficiency of the solar device further includes the following steps: When judging a first solar device of the first case When the power generation efficiency is abnormal, according to the continuous abnormal power generation amount, the time series corresponding to the continuous abnormal power generation amounts, and the plural predicted power generation data in the predicted power generation data corresponding to the continuous time series corresponding to the continuous abnormal power generation amounts, Calculate a first average heterogeneous ratio and a second average heterogeneous ratio (S110); determine the type of abnormality in the power generation efficiency of the first solar equipment according to the first average heterogeneous ratio and the second average heterogeneous ratio (S111) .

The data processing module judges that the power generation efficiency of the first solar device is abnormal and generates an abnormal notification signal, and further according to the power generation efficiency circuit data of the first solar device and the predicted power generation amount in the predicted power generation data. Compare and judge the abnormal type of the power generation efficiency of the first solar device based on the comparison result, that is, the first average heteroproportional value and the second heteroproportional value.

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

;

among them Is the first average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation amounts of power generation current values, The power generation current value of the power generation amount is predicted for the complex corresponding to the time series corresponding to the continuous abnormal power generation amounts.

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

;

among them Is the second average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation, the power generation voltage value, The power generation voltage value of the power generation amount is predicted for the complex corresponding to the time series corresponding to the continuous abnormal power generation amounts.

In another preferred embodiment, the plurality of predicted power generation amounts may be replaced by a plurality of power generation amounts generated from other power generation data generated by other solar equipment in the same field. Please refer to FIG. 5 for a method for determining an abnormal type of power generation efficiency of the solar equipment. The system further includes the following steps: when it is determined that the power generation efficiency of a first solar equipment of the first case is abnormal, receiving the second power generation data generated by a second solar equipment of the first case (S110a); The second solar device has the same device capacity as the first solar device, and the second power generation data of the second solar device includes a plurality of second power generation amounts, and each of the second power generation amounts corresponds to a time series, and The time sequence corresponding to each of the second power generation amounts is continuous and non-repeating; according 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 continuous abnormal power generation amounts Calculate a first average heterogeneous ratio and a second average heterogeneous ratio in the plurality of second electricity generation amounts in the second power generation data (S111a); according to the first 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 this preferred embodiment, the calculation formula order of the first average heterogeneous ratio and the second average heterogeneous ratio is the same as the above, but the plurality of predicted power generation quantities of the predicted power generation data are derived from the second power generation data. Replaced by a plurality of second generation. That is, the second power generation amounts of the second power generation data include a power generation amount voltage value. The calculation formula of the first average heterodyne ratio is as follows:

;

among them Is the first average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation amounts of power generation current values, The current value of the power generation amount of the plurality of second power generation amounts corresponding to the time series corresponding to the continuous abnormal power generation amounts.

In addition, the second power generation data of the second power generation data includes a power generation voltage value. And the calculation formula of the second average hetero-proportional value is as follows:

among them Is the second average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation, the power generation voltage value, The power generation voltage value of the plurality of second power generation amounts corresponding to the time series corresponding to the continuous abnormal power generation amounts.

For example, please refer to FIG. 6A and FIG. 6B, wherein the solid line part of FIG. 6A represents a line chart of the current value of the power generation amount of the first solar device and the dotted line part represents the power generation amount of the second solar device Line chart of current value change with time, the solid line part of FIG. 6B represents a line chart of the power generation amount voltage value of the first solar device, and the dashed part represents the voltage change of the power generation amount of the second solar device with time. Line chart, when the power generation current of the first solar power generation module returns to zero and the power generation voltage rises, the first average heterogeneous ratio Is 0, and the second average heterogeneous ratio If it is larger than a critical value, the abnormal type representing the power generation efficiency of the first solar device is that the entire field does not generate power.

Please refer to FIG. 7A and FIG. 7B, wherein the solid line part of FIG. 7A represents a line chart of the power generation current value of the first solar device as a function of time, and the dotted line part represents the power generation current value of the second solar device as a function of time. A broken line graph. The solid line part of FIG. 7B represents a time line graph of the power generation voltage value of the first solar device, and the broken line part represents a time line graph of the power generation voltage value of the second solar device. When the power generation current and the power generation voltage of the first solar device decrease at the same time, the first average heterogeneous ratio And the second mean difference ratio Will be less than the critical value, and the abnormal type representing the power generation efficiency of the first solar device is shading.

Please refer to FIG. 8A and FIG. 8B, in which the solid line part of FIG. 8A represents a line chart of the power generation current value of the first solar device with time, and the dotted line part represents the power generation current value of the second solar device with time. A broken line graph. The solid line part of FIG. 8B represents a time line graph of the power generation voltage value of the first solar device, and the broken line part represents a time line graph of the power generation voltage value of the second solar device. When the power generation current of the first solar device decreases, but the power generation voltage increases, the first average heterogeneous ratio Less than the critical value, and the second average heterogeneous ratio Above the critical value, the abnormal type representing the power generation efficiency of the first solar device is heat drop.

In this way, when the manager receives the abnormality notification signal, the manager can further receive the abnormal type of the power generation efficiency 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 equipment before sending a special person to the first case for maintenance, and then can select a more appropriate maintenance person to go there, and can notify the maintenance person to bring relevant maintenance equipment, Avoiding the situation where people arrive at the scene without carrying relevant maintenance equipment can further reduce the risk of wasting human resources.

Please refer to FIG. 9, the abnormality determination system of the solar power generation module includes a first solar device 11, a power generation amount prediction module 12, and a data processing module 13 having a first field.

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

The data processing module 13 sequentially judges whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time series exceeds a data abnormal 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 abnormal threshold, 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 the continuous abnormal power generation amounts exceeds a device abnormal threshold. When the data processing module 13 determines that the number of consecutive abnormal power generation amounts exceeds the equipment abnormal threshold, the data processing module 13 determines that the power generation efficiency of the first solar device 11 is abnormal, and generates an abnormal notification signal .

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

The data processing module 13 is further connected to the second solar equipment 14 of the first case, so as to receive the second power generation data generated by the second solar equipment 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 amount, and the plural second power generation amount or predicted power generation corresponding to the time series corresponding to the continuous abnormal power generation amount. To calculate a first average heterogeneous ratio and a second average heterogeneous ratio.

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

The data processing module 13 further judges the abnormal type of the power generation efficiency of the first solar device 11 according to the first average heterogeneous ratio and the second average heterogeneous ratio.

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

The calculation method of the first average heterogeneous ratio and the second average heterogeneous ratio are described in detail in the abnormality determination method of the solar power generation module of the present invention, so they are not repeated here.

The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention in any form. Although the present invention has been disclosed as above with the preferred embodiments, they are not intended to limit the present invention, and any technology familiar with the profession Personnel, without departing from the scope of the technical solution of the present invention, can use the disclosed technical content to make a few changes or modify the equivalent embodiment of equivalent changes, as long as the content of the technical solution of the present invention does not depart from, Any simple modifications, equivalent changes, and modifications made to the above embodiments by the technical essence of the invention still fall within the scope of the technical solution of the present invention.

100‧‧‧ electronic device

101‧‧‧ abnormal notification signal

11‧‧‧The first solar equipment

12‧‧‧Power Generation Forecast Module

13‧‧‧Data Processing Module

14‧‧‧Second solar equipment

FIG. 1 is a flowchart of a preferred embodiment of a method for determining abnormality in power generation efficiency of a solar device according to the present invention. FIG. 2 is a broken line diagram of the first power generation amount and the predicted power generation amount changing with time. FIG. 3 is a schematic diagram of a display screen of an abnormal notification. FIG. 4 is a flowchart of a preferred embodiment of a method for determining abnormality in power generation efficiency of a solar device according to the present invention. 5 is a flowchart of another preferred embodiment of a method for determining abnormality in power generation efficiency of a solar device according to the present invention. FIG. 6A is a broken line diagram of the power generation current value of the first power generation amount and the second power generation amount in a state where no power is generated in the entire field with time. FIG. 6B is a broken line diagram of the first generation power generation amount and the second generation power generation amount of the power generation voltage value in a state where no power is generated in the entire field with time. FIG. 7A is a schematic diagram of a broken line of the power generation current value of the first power generation amount and the second power generation amount in a shaded state with time. FIG. 7B is a broken line diagram of the power generation voltage values of the first power generation amount and the second power generation amount in a shaded state with time. FIG. 8A is a broken line diagram of the power generation current values of the first power generation amount and the second power generation amount in a time-dependent load reduction state. FIG. 8B is a broken line diagram of the power generation voltage values of the first power generation amount and the second power generation amount in a time-dependent load reduction state. FIG. 9 is a schematic block diagram of a preferred embodiment of an abnormality judgment system for power generation efficiency of a solar device according to the present invention.

Claims (10)

An abnormality judgment method for power generation efficiency of solar equipment is performed by a data processing module, and the abnormality judgment method for power generation efficiency of solar equipment includes the following steps: First power generation data; wherein the first power generation data of the first solar device includes a plurality of first power generation amounts, and each of the first power generation amounts corresponds to a time sequence, and the time sequence of each of the first power generation amounts is continuous and Not repeated; receiving a predicted power generation data generated by a power generation amount prediction module; wherein the predicted power generation data includes a plurality of predicted power generation amounts, and each of the predicted power generation amounts corresponds to a time series, and each of the predicted power generation amounts corresponds to a time series Continuous and non-repeating; sequentially determining whether the difference between the first power generation amount and the predicted power generation amount corresponding to each time series exceeds a data abnormal threshold; when the difference between the first power generation amount and the predicted power generation amount exceeds the data When the abnormal threshold value is recorded, the first power generation amount is recorded as the abnormal power generation amount; it is judged whether the number of the abnormal power generation amount is a plurality; 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 continuous abnormal power generation amount exceeds a device Abnormal threshold value; when the number of consecutive abnormal power generation amounts exceeds the equipment abnormal threshold value, it is determined that the power generation efficiency of the first solar energy device is abnormal, and an abnormality notification signal is generated. The method for judging the abnormality of the power generation efficiency of the solar equipment according to claim 1, further comprising the following steps: When it is determined that the power generation efficiency of a first solar equipment of the first case is abnormal, according to the continuous abnormal power generation amounts 2. The time series corresponding to the continuous abnormal power generation amounts and the plurality of predicted power generation data in the predicted power generation data corresponding to the time series corresponding to the continuous abnormal power generation amounts, calculate a first average difference ratio and a second average difference Positive ratio; judging the abnormal type of the power generation efficiency of the first solar equipment according to the first average different ratio and the second average different ratio; wherein the first power generation amount and the predicted power generation amount respectively include a power generation amount current Value; wherein the first average heterodyne ratio is calculated according to the following formula: ; among them Is the first average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation amounts of power generation current values, The power generation current values of the plurality of predicted power generation quantities corresponding to the time series corresponding to the continuous abnormal power generation quantities; wherein the first power generation quantities and the predicted power generation quantities further include a power generation voltage value respectively; the second average The outlier ratio is calculated according to the following formula: ; among them Is the second average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation, the power generation voltage value, The power generation voltage value of the power generation amount is predicted for the complex corresponding to the time series corresponding to the continuous abnormal power generation amounts. The method for judging the abnormality of the power generation efficiency of the solar equipment according to claim 2, further comprising the following steps: judging the abnormal type of the power generation efficiency of the first solar equipment according to the first average heterogeneous ratio and the second average heterogeneous ratio. The method for judging the abnormality of the power generation efficiency of the solar equipment according to claim 1, further includes the following steps: When it is determined that the power generation efficiency of a first solar equipment of the first case is abnormal, receiving the A second power generation data generated by a second solar power device; wherein the second power generation data of the power generation efficiency of the second solar power device includes a plurality of second power generation amounts, and each of the second power generation amounts corresponds to a time series, and each of the The time sequence corresponding to the second power generation amount is continuous and does not repeat; according to the continuous abnormal power generation amount, the time sequence corresponding to the continuous abnormal power generation amounts, and the plural number corresponding to the time sequence corresponding to the continuous abnormal power generation amounts. Calculating a first average heterogeneous ratio and a second average heterogeneous ratio of the two power generation amounts; wherein the first power generation amount, the predicted power generation amounts, and the second power generation amounts each include a power generation current value; wherein the The first average heterodyne ratio is calculated according to the following formula: ; among them Is the first average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation amounts of power generation current values, The power generation current values of the plurality of second power generation amounts corresponding to the time series corresponding to the continuous abnormal power generation amounts; wherein the first power generation amount, the predicted power generation amounts, and the second power generation amounts further include a power generation, respectively. The voltage value is calculated according to the following formula: ; among them Is the second average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation, the power generation voltage value, The power generation voltage value of the plurality of second power generation amounts corresponding to the time series corresponding to the continuous abnormal power generation amounts. The method for judging the abnormality of the power generation efficiency of the solar equipment according to claim 4, further comprising the following steps: judging the abnormal type of the power generation efficiency of the first solar equipment according to the first average heterogeneous ratio and the second average heterogeneous ratio. An abnormality judgment system for power generation efficiency of solar equipment includes: a first solar equipment of a first case; a power generation prediction module; a data processing module connected to the first solar equipment and the power generation The prediction module is configured to receive the first power generation data generated by the first solar device and a predicted power generation data generated by the power generation amount prediction module; wherein the first power generation data of the first solar device includes a plurality of first power generation amounts. And each of the first power generation amounts corresponds to a time sequence, and the time sequence of each of the first power generation amounts is continuous and non-repeating; wherein the predicted power generation data includes a plurality of predicted power generation amounts, and each of the predicted power generation amounts corresponds to one Time sequence, and the time sequence corresponding to each predicted power generation is continuous and non-repeating; wherein the data processing module sequentially judges whether the difference between the first power generation corresponding to each time sequence and the predicted power generation exceeds a data abnormal threshold And when the data processing module judges that the difference between the first power generation amount and the predicted power generation amount exceeds the data abnormal threshold, the data processing unit 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 a plurality. When the number of the abnormal power generation amount is a plurality, the data processing module determines the abnormal power generation amounts. Whether the corresponding time sequence is continuous; and when the data processing module judges that the time sequence corresponding to the abnormal power generation quantities is continuous, the data processing module further determines whether the number of continuous abnormal power generation quantities exceeds an equipment abnormal threshold Value; when the data processing module determines that the number of consecutive abnormal power generation amounts exceeds the equipment abnormal threshold, the data processing module determines that the power generation efficiency of the first solar device is abnormal and generates an abnormal notification signal. The abnormality judging system for the power generation efficiency of the solar equipment according to claim 6, wherein: when the data processing module judges that the power generation efficiency of the first solar equipment is abnormal, the data processing module is based on the continuous power generation amounts A time series corresponding to the continuous power generation amounts and a plurality of predicted power generation amounts corresponding to the time series corresponding to the continuous power generation amounts to calculate a first average heterogeneous ratio and a second average heterogeneous ratio; The power generation amount and the predicted power generation amounts respectively include a power generation amount current value; the first average different proportional ratio is calculated according to the following formula: ; among them Is the first average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation amounts of power generation current values, The power generation current values of the plurality of predicted power generation quantities corresponding to the time series corresponding to the continuous abnormal power generation quantities; wherein the first power generation quantities and the predicted power generation quantities further include a power generation voltage value respectively; the second average The outlier ratio is calculated according to the following formula: ; among them Is the second average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation, the power generation voltage value, The power generation voltage value of the power generation amount is predicted for the complex corresponding to the time series corresponding to the continuous abnormal power generation amounts. The abnormality judging system for generating power efficiency of a solar device according to claim 7, wherein the data processing module further judges an abnormal type of the first solar device according to the first average heterogeneous ratio and the second average heterogeneous ratio. The abnormality judging system for the power generation efficiency of solar equipment according to claim 6, further comprising: a second solar equipment; wherein the second solar module is set in the first case; and the data processing module further The second solar equipment connected to the first case is used to receive the second power generation data generated by the second solar equipment of the first case; and the data processing module is based on 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 series corresponding to the consecutive abnormal power generation amounts are calculated as a first average heterogeneous ratio and a second average heterogeneous 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 corresponds to a time sequence, and the time sequence corresponding to each of the second power generation amounts is continuous and non-repeating; wherein the first power generation amounts And the second power generation amounts each include a power generation current value; the first average heterogeneous ratio is calculated according to the following formula: ; among them Is the first average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation amounts of power generation current values, The current value of the power generation amount of the plurality of second power generation amounts corresponding to the time series corresponding to the continuous abnormal power generation amounts. The first power generation amount and the second power generation amount each further include a power generation amount voltage value; wherein the second average different proportional ratio is calculated according to the following formula: ; among them Is the second average heterodyne ratio, For the total number of time series corresponding to these consecutive abnormal power generation amounts, For these continuous abnormal power generation, the power generation voltage value, The power generation voltage value of the plurality of second power generation amounts corresponding to the time series corresponding to the continuous abnormal power generation amounts. The abnormality judging system for the power generation efficiency of the solar equipment according to claim 9, wherein the data processing module further judges the abnormality type of the first solar equipment according to the first average heterogeneous ratio and the second average heterogeneous ratio.