CN118330515B - Method and system for monitoring temperature of MC4 connector of photovoltaic system in real time - Google Patents
Method and system for monitoring temperature of MC4 connector of photovoltaic system in real time Download PDFInfo
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- CN118330515B CN118330515B CN202410762892.2A CN202410762892A CN118330515B CN 118330515 B CN118330515 B CN 118330515B CN 202410762892 A CN202410762892 A CN 202410762892A CN 118330515 B CN118330515 B CN 118330515B
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/66—Testing of connections, e.g. of plugs or non-disconnectable joints
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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Abstract
The application discloses a performance monitoring method and device of a photovoltaic system MC4 connector, and relates to the technical field of photovoltaic systems; a state monitoring circuit is arranged in the MC4 connector, and when the contact state is abnormal, the connection between the output loop of the MC4 connector and the energy transmission object can be disconnected through the state monitoring circuit, so that the performance of the MC4 connector can be influenced to a certain extent by the state monitoring circuit; further, when performance monitoring of the MC4 connector is performed, a performance monitoring evaluation value of one dimension is determined through historical energy transmission monitoring information of the output loop; determining a performance monitoring value of another dimension through historical state monitoring information of a state monitoring circuit; therefore, the performance monitoring values of the two dimensions are integrated, and more accurate and comprehensive performance monitoring results are determined. Therefore, the technical scheme can combine the state monitoring data and the output loop monitoring data of the MC4 connector to realize accurate and comprehensive performance monitoring of the MC4 connector.
Description
Technical Field
The application relates to the technical field of photovoltaic systems, in particular to a performance monitoring method and device of a MC4 connector of a photovoltaic system.
Background
The MC4 connector is called a Multi-Contact 4mm connector, and is a connector special for a solar photovoltaic system. It is mainly used for connecting a solar photovoltaic panel with an inverter or other electrical equipment to convert solar energy into electric energy.
The traditional MC4 connector only depends on physical connection, and poor contact of the MC4 connector is easily caused due to the problems of manufacturing process, mounting mode and the like.
Disclosure of Invention
The application aims to provide a performance monitoring method and device for a MC4 connector of a photovoltaic system, which can combine state monitoring data and output loop monitoring data of the MC4 connector to realize accurate and comprehensive performance monitoring of the MC4 connector.
To achieve the above object, in a first aspect, an embodiment of the present application provides a performance monitoring method of an MC4 connector, the MC4 connector including a state monitoring circuit for monitoring a contact state of the MC4 connector and disconnecting the output circuit of the MC4 connector from an energy transmission object when an abnormality of the contact state is monitored, the performance monitoring method including: acquiring first monitoring data and second monitoring data, wherein the first monitoring data comprises historical energy transmission monitoring information of the output loop, and the second monitoring data comprises historical state monitoring information of the state monitoring circuit; determining a first performance evaluation value according to the first monitoring data; determining a second performance evaluation value according to the second monitoring data; and determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value.
In one possible embodiment, the historical energy transfer monitoring information includes: and determining a first performance evaluation value according to the first monitoring data, wherein the energy transmission information respectively corresponds to the plurality of historical time points comprises the following steps: according to the energy transmission information respectively corresponding to the plurality of historical time points, determining the energy transmission information respectively corresponding to a plurality of target historical time points, wherein the plurality of target historical time points are historical time points which accord with preset illumination intensity conditions; determining a first performance prediction evaluation value according to the energy transmission information and the pre-trained performance evaluation model respectively corresponding to the plurality of target historical time points; determining a second performance prediction evaluation value according to the energy transmission information corresponding to the historical time points except the plurality of target historical time points and the pre-trained performance evaluation model; and determining the first performance evaluation value according to the first performance prediction evaluation value and the second performance prediction evaluation value.
In a possible embodiment, the preset illumination intensity conditions include: the illumination intensity is greater than first illumination intensity of predetermineeing, illumination intensity is less than second illumination intensity of predetermineeing, or illumination intensity is located between second illumination intensity of predetermineeing and the first illumination intensity of predetermineeing, and the frequency of occurrence of illumination intensity is less than predetermineeing the frequency, performance monitoring method still includes: acquiring a first training data set, wherein the first training data set comprises a plurality of first sample energy transmission information, the plurality of first sample energy transmission information respectively corresponds to performance prediction evaluation value labels, and the illumination intensity corresponding to the plurality of first sample energy transmission information is illumination intensity with a change rule; acquiring a second training data set, wherein the second training data set comprises a plurality of second sample energy transmission information, the plurality of second sample energy transmission information respectively corresponds to a performance prediction evaluation value label, and the illumination intensity corresponding to the plurality of second sample energy transmission information is illumination intensity without a change rule; and training the performance evaluation model to be trained according to the first training data set and the second training data set to obtain a pre-trained performance evaluation model.
In one possible embodiment, the first monitoring data further includes: the method for determining the first performance evaluation value according to the first monitoring data comprises the following steps of: determining a connector performance prediction evaluation value according to the energy transmission information and the pre-trained connector performance evaluation model which correspond to the historical time points respectively; determining a photovoltaic panel performance prediction evaluation value according to the photovoltaic panel monitoring information and the pre-trained photovoltaic panel performance evaluation model which correspond to the historical time points respectively; and determining the first performance evaluation value according to the connector performance prediction evaluation value and the photovoltaic panel performance prediction evaluation value.
In one possible embodiment, the historical state monitoring information of the state monitoring circuit includes: the total monitoring times and the target monitoring times of the state monitoring circuit, the target monitoring times represent times of monitoring abnormal states, and the determining a second performance evaluation value according to the second monitoring data comprises: determining the monitoring success rate of the state monitoring circuit according to the total monitoring times and the target monitoring times; determining a first performance impact value according to the total monitoring times; determining a second performance impact value according to the monitoring success rate; and determining the second performance evaluation value according to the first performance influence value, the second performance influence value and the historical performance evaluation value.
In one possible implementation manner, the historical performance evaluation value includes a second performance evaluation value of a previous monitoring period, and a performance impact value corresponding to the second performance evaluation value of the previous monitoring period, and determining the second performance evaluation value according to the first performance impact value, the second performance impact value, and the historical performance evaluation value includes: determining a target performance impact value according to the first performance impact value and the second performance impact value; determining a difference value of the target performance impact value and a performance impact value corresponding to a second performance evaluation value of a previous monitoring period; and determining a second performance evaluation value according to the difference value and the second performance evaluation value of the last monitoring period.
In one possible implementation manner, the determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value includes: determining first performance monitoring information according to the first performance evaluation value, wherein the first performance monitoring information is used for representing whether energy transmission of the MC4 connector is abnormal or not; determining second performance monitoring information according to the second performance evaluation value, wherein the second performance monitoring information is used for representing whether the state monitoring circuit is abnormal or not; determining monitoring prompt information according to a performance evaluation value difference value between the first performance evaluation value and the second performance evaluation value, wherein the monitoring prompt information is used for prompting a performance maintenance strategy; and generating the performance monitoring result according to the first performance monitoring information, the second performance monitoring information and the monitoring prompt information.
In one possible implementation manner, the determining the monitoring prompt information according to the performance evaluation value difference value between the first performance evaluation value and the second performance evaluation value includes: if the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is less than or equal to a preset difference, determining the monitoring prompt information includes: performing performance maintenance on the MC4 connector according to user requirements; if the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is greater than the preset difference, determining the monitoring prompt information includes: maintaining the connector of the MC4 connector; if the performance evaluation value difference is smaller than 0, determining the monitoring prompt information comprises: and maintaining the output loop of the MC4 connector.
In one possible embodiment, the performance monitoring method further comprises: acquiring third monitoring data, wherein the third monitoring data comprises historical environment monitoring information of the working environment of the MC4 connector; determining an environment monitoring result according to the historical environment monitoring information, wherein the environment monitoring result is used for representing whether the working environment is an environment adapted to the MC4 connector; and generating user feedback information and feeding back according to the performance monitoring result and the environment monitoring result.
In a second aspect, an embodiment of the present application provides a performance monitoring apparatus of a MC4 connector of a photovoltaic system, the MC4 connector including a state monitoring circuit for monitoring a contact state of the MC4 connector and disconnecting the output circuit of the MC4 connector from an energy transmission object when an abnormality of the contact state is monitored, the performance monitoring apparatus comprising: the acquisition module is used for acquiring first monitoring data and second monitoring data, wherein the first monitoring data comprises historical energy transmission monitoring information of the output loop, and the second monitoring data comprises historical state monitoring information of the state monitoring circuit; a determining module for: determining a first performance evaluation value according to the first monitoring data; determining a second performance evaluation value according to the second monitoring data; and determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value.
Compared with the prior art, the technical scheme of the embodiment of the application has the following technical effects:
A state monitoring circuit is arranged in the MC4 connector, and when the contact state is abnormal, the connection between the output loop of the MC4 connector and the energy transmission object can be disconnected through the state monitoring circuit, so that the performance of the MC4 connector can be influenced to a certain extent by the state monitoring circuit; further, when performance monitoring of the MC4 connector is performed, a performance monitoring evaluation value of one dimension is determined through historical energy transmission monitoring information of the output loop; determining a performance monitoring value of another dimension through historical state monitoring information of a state monitoring circuit; therefore, the performance monitoring values of the two dimensions are integrated, and more accurate and comprehensive performance monitoring results are determined. Therefore, the technical scheme can combine the state monitoring data and the output loop monitoring data of the MC4 connector to realize accurate and comprehensive performance monitoring of the MC4 connector.
Drawings
FIGS. 1A-1B are schematic views of MC4 connectors according to embodiments of the present application;
FIG. 2 is a block diagram of a photovoltaic system according to an embodiment of the present application;
FIG. 3 is a flow chart of a method of monitoring performance of a photovoltaic system MC4 connector according to an embodiment of the application;
FIG. 4 is a block diagram of a photovoltaic system MC4 connector performance monitoring according to an embodiment of the present application;
Fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following detailed description of embodiments of the application is, therefore, to be taken in conjunction with the accompanying drawings, and it is to be understood that the scope of the application is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the term "comprise" or variations thereof such as "comprises" or "comprising", etc. will be understood to include the stated element or component without excluding other elements or components.
The technical scheme provided by the embodiment of the application can be applied to a photovoltaic system, wherein the photovoltaic system comprises an MC4 connector, and the MC4 connector is used for connecting a solar photovoltaic panel and an inverter or other electrical equipment.
In the related art, when the MC4 connector is not contacted in place, a larger contact resistance exists, and if the power generated by the photovoltaic system is larger, the contact point is heated seriously. When the MC4 connector is not contacted in place, a gap is formed between contact points, and the phenomena of arc discharge (series arc discharge) between the contact points, arc discharge (parallel arc discharge) between connectors and the like are caused. Meanwhile, when the MC4 connector is not contacted in place, the connector is not tightly protected, so that the problems of discharging to the ground (arcing to the ground) and the like are caused, and serious photovoltaic safety faults can be caused by the problems. Moreover, the MC4 connector is not in place, so that the joint is not tightly sealed, water is easy to corrode, the service life is shortened, and high cost is brought to subsequent operation and maintenance.
It can be seen whether the plug-in contact of the MC4 connector is in place or not, which affects the safety of the photovoltaic system.
Accordingly, a state monitoring circuit may be provided in the MC4 connector, which may monitor the contact state of the MC4 connector and disconnect the connection between the output circuit of the MC4 connector and the energy transmission object when an abnormality in the contact state is detected. In this way, the security of the MC4 connector can be protected.
However, with such a state monitoring circuit, when the contact state is abnormal, the connection between the output circuit of the MC4 connector and the energy transmission object is disconnected, and therefore, the performance of the MC4 connector is affected. For example, the output loop of the connector is forced to frequently switch output states, resulting in reduced performance.
Therefore, in the embodiment of the application, based on the fact that the MC4 connector is provided with the state monitoring circuit, on the basis that the performance of the MC4 connector is influenced, a new performance monitoring scheme is provided, and the performance monitoring scheme can monitor the performance from two dimensions, and the accuracy and the comprehensiveness of the performance monitoring are improved.
For example, referring to fig. 1A and fig. 1B, a schematic structural diagram of an MC4 connector according to an embodiment of the present application is shown in fig. 1A and fig. 1B, where the MC4 connector includes: the male and female components, some of which are not shown in the specific component figures. And, a connector comprising a positive plug and a negative plug. The connection between the positive plug and the negative plug can be regarded as a connection contact, at which the condition monitoring member can be connected.
For example, in fig. 1A, the state monitoring component is a temperature switch (i.e., a temperature controlled switch), and in fig. 1B, the state monitoring component is a micro switch.
Based on the structure shown in fig. 1A and 1B, the state monitoring circuit may include: a temperature switch or a micro switch.
For example, the temperature switch may be positioned at the core of the connector, which may be in series with the core of the connector. And its position in the connector may also be near the core. When the temperature of the inner core exceeds the rated value of the temperature switch, the temperature switch is disconnected, so that the connection between the output loop and the connector is also disconnected, and the MC4 connector is equivalent to not working. And when the temperature is reduced to the normal range, the temperature switch is restored to be normal, the output loop is connected with the connector normally, and the MC4 connector works normally.
For example, for a micro-switch, it may be pre-buried at the connection contacts of the connector. When the connector is not contacted in place, the micro switch is in an off state, and the output loop does not output. When the micro switch is contacted in place, the micro switch is closed, and the output loop normally outputs; the working principle of the temperature switch is similar to that of a temperature switch. Thus, the micro switch changes its open or closed state according to the contact state.
Therefore, for the state monitoring circuit, when the contact state abnormality is detected, the connection between the output circuit of the MC4 connector and the energy transmission object is disconnected. Among them, the energy transmission object may be an inverter, a charge controller, a battery, and the like.
Referring to fig. 2, a block diagram of a photovoltaic system according to an embodiment of the present application, as shown in fig. 2, the photovoltaic system includes: the energy collection device comprises an energy collection end, an MC4 connector, an energy transmission object and a monitoring terminal.
The energy collection end is connected with the energy transmission object through the MC4 connector. And, the MC4 connector can realize energy transmission between the energy collecting end and the energy transmission object.
By way of example, the energy collection end may be a solar photovoltaic panel; or other device capable of energy harvesting.
It will be appreciated that the MC4 connector is important in photovoltaic systems, which can reduce the loss of energy transfer, and therefore, it is desirable to ensure stable operation of the MC4 connector. Thus, in some embodiments, the MC4 connector may be configured with a monitoring terminal that may remotely obtain monitoring data of the MC4 connector and perform performance monitoring based on the monitoring data.
In addition, the monitoring terminal of the MC4 connector can be a monitoring terminal of the whole photovoltaic system, and can monitor the performance of the MC4 connector and also realize the related monitoring of other equipment.
Referring to fig. 3, a flowchart of a performance monitoring method of a photovoltaic system MC4 connector according to an embodiment of the application may be applied to a monitoring terminal, where the performance monitoring method includes:
Step 301, acquiring first monitoring data and second monitoring data, wherein the first monitoring data comprises historical energy transmission monitoring information of an output loop, and the second monitoring data comprises historical state monitoring information of a state monitoring circuit.
Step 302, determining a first performance evaluation value according to the first monitoring data.
Step 303, determining a second performance evaluation value according to the second monitoring data.
Step 304, determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value.
It will be appreciated that steps 301-304 may be a performance monitoring procedure that is performed periodically. In the monitoring terminal, a performance monitoring period may be configured, and when the performance monitoring period is reached, steps 301 to 304 are executed to implement performance monitoring.
In some embodiments, the monitoring terminal may obtain information of the transmitted energy from the energy collecting end and the energy transmission object, respectively, so as to determine energy transmission monitoring information. For example, the energy transmission monitoring information such as the energy transmission loss, the energy transmission value and the like is determined according to the energy transmitted to the connector by the energy collecting end and the energy received from the connector by the energy transmission object. Or determining energy transmission efficiency, etc. according to the time of energy transmission of the energy collecting end and the time of energy reception at the connector.
Thus, the energy transfer information may be: information reflecting energy transmission performance such as energy transmission loss, energy transmission maximum value, energy transmission efficiency, and the like.
Further, with respect to the historical energy transmission monitoring information, it is understood as information monitored a plurality of times in the performance monitoring period. After each time of energy transmission, the monitoring terminal determines energy transmission monitoring information according to the synchronous information of the related equipment, stores the energy transmission monitoring information as historical energy transmission monitoring information, and can directly acquire the energy transmission monitoring information when the energy transmission monitoring information is required to be applied.
In some embodiments, the MC4 connector may record the usage of the status monitoring circuit to produce status monitoring information. For example, the number of times of opening the temperature switch is recorded, the number of times of switching the temperature switch from open to closed is recorded, and the like, and the number of times of abnormal state monitoring of the state monitoring circuit is recorded.
In addition, since the state monitoring circuit can be configured with a corresponding monitoring period, the total monitoring times of the state monitoring circuit can be determined according to the monitoring period and the total use time of the connector.
Thus, the status monitoring information may include: the total monitoring times and the target monitoring times of the state monitoring circuit, wherein the target monitoring times can represent the times of monitoring abnormal states.
Further, in step 302, a first performance evaluation value is determined based on the first monitoring data.
As an alternative embodiment, the historical energy transfer monitoring information includes: and the historical time points respectively correspond to the energy transmission information. Step 302 may include: according to the energy transmission information respectively corresponding to the plurality of historical time points, determining the energy transmission information respectively corresponding to the plurality of target historical time points, wherein the plurality of target historical time points are historical time points which accord with preset illumination intensity conditions; determining a first performance prediction evaluation value according to the energy transmission information and the pre-trained performance evaluation model respectively corresponding to the plurality of target historical time points; determining a second performance prediction evaluation value according to the energy transmission information corresponding to the historical time points except the plurality of target historical time points and the pre-trained performance evaluation model; the first performance evaluation value is determined based on the first performance prediction evaluation value and the second performance prediction evaluation value.
In this embodiment, the energy transmission information corresponding to each of the plurality of target historical time points is first screened, and the energy transmission information meeting the preset illumination intensity condition is screened out, so that the reference value of the energy transmission information is higher. The illumination intensity is the illumination intensity of the environment where the photovoltaic panel is located. The illumination intensity information can be acquired from the photovoltaic panel or can be acquired by configuring an illumination sensor, and the illumination intensity information can be recorded according to time points so as to facilitate data screening.
As an alternative embodiment, the preset illumination intensity conditions include: the illumination intensity is greater than the first preset illumination intensity, the illumination intensity is less than the second preset illumination intensity, or the illumination intensity is between the second preset illumination intensity and the first preset illumination intensity, and the occurrence frequency of the illumination intensity is less than the preset frequency.
The first preset illumination intensity may be an illumination intensity with a higher energy collection rate, for example: the illumination intensity at the direct solar radiation in noon. The second preset illumination intensity may be an illumination intensity with a lower energy collection rate, for example: the illumination intensity in the evening, the illumination intensity at night, etc. The frequency of occurrence of the illumination intensity may be the frequency of occurrence in one performance monitoring period, for example: frequency of occurrence within 2 days, frequency of occurrence within one week.
Furthermore, by using the pre-trained performance evaluation model, a first performance prediction evaluation value may be determined according to the energy transmission information corresponding to each of the plurality of target historical time points. Then, a second performance prediction evaluation value is determined according to energy transmission information corresponding to historical time points except a plurality of target historical time points by using a pre-trained performance evaluation model. It is understood that the reference value of the first performance prediction estimation value is better than the reference value of the second performance prediction estimation value.
Therefore, the weights of the two performance prediction evaluation values may be preset, and the weight of the first performance prediction evaluation value is greater than the weight of the second performance prediction evaluation value, and the sum of the two weights may be 1. Further, by weighted summation, the first performance evaluation value can be determined.
In some embodiments, the performance assessment model may be a random forest model, a deep learning model, a large model, or the like.
As an alternative embodiment, the training process of the performance evaluation model includes: acquiring a first training data set, wherein the first training data set comprises a plurality of first sample energy transmission information, the plurality of first sample energy transmission information respectively corresponds to performance prediction evaluation value labels, and the illumination intensity corresponding to the plurality of first sample energy transmission information is illumination intensity with a change rule; acquiring a second training data set, wherein the second training data set comprises a plurality of second sample energy transmission information, the plurality of second sample energy transmission information respectively corresponds to a performance prediction evaluation value label, and the illumination intensity corresponding to the plurality of second sample energy transmission information is illumination intensity without a change rule; training the performance evaluation model to be trained according to the first training data set and the second training data set to obtain a pre-trained performance evaluation model.
In this embodiment, the energy transmission information in different photovoltaic systems can be obtained from the photovoltaic field, and then the energy transmission information under the illumination intensity with a change rule and the energy transmission information under the illumination intensity without a change rule are screened out from the energy transmission information, and are respectively used as two training data sets to train the performance evaluation model. Thus, the pre-trained performance evaluation model may have better model generalization capability.
Wherein there are rules of variation such as: from high to low, from low to high, substantially balanced, etc. There is no law of variation such as: randomly distributed.
When training is carried out, two training data sets can be used for training respectively, then a test data set is selected from the two training data sets, the model precision is tested by the test data set, and the model is optimized according to the test result.
Further, when the pre-trained performance evaluation model is applied, energy transmission information at a plurality of time points is input into the model, and the pre-trained performance evaluation model can output predicted performance evaluation values. It can be understood that the higher the performance evaluation value, the better the representative performance.
As another alternative embodiment, the first monitoring data includes: and the historical time points are respectively corresponding to the energy transmission information and the photovoltaic panel monitoring information. The photovoltaic panel monitoring information may include an energy collection rate, an energy transmission value, an energy transmission speed and the like of the photovoltaic panel, and specifically may refer to a mature technology in the field.
Correspondingly, step 302 includes: determining a connector performance prediction evaluation value according to the energy transmission information and the pre-trained connector performance evaluation model which correspond to the historical time points respectively; determining a photovoltaic panel performance prediction evaluation value according to the photovoltaic panel monitoring information and the pre-trained photovoltaic panel performance evaluation model which correspond to the historical time points respectively; a first performance evaluation value is determined based on the connector performance prediction evaluation value and the photovoltaic panel performance prediction evaluation value.
In such an embodiment, the pre-trained connector performance assessment model may be the pre-trained performance assessment model described previously. The pre-trained photovoltaic panel performance evaluation model, the corresponding training data of which may include: and photovoltaic panel monitoring sample information provided with a performance prediction evaluation value label. By using the training data, the model is trained, and a pre-trained photovoltaic panel performance evaluation model can be obtained.
Further, a first performance evaluation value is determined based on the connector performance prediction evaluation value and the photovoltaic panel performance prediction evaluation value. It will be appreciated that the performance of the photovoltaic panel may also have an impact on the connector performance, for example: in the case of a photovoltaic panel having poor performance, the connector cannot sufficiently exert its performance, so its performance prediction evaluation value may be low. In the case of a photovoltaic panel having a good performance, the connector can sufficiently exert its performance, so that its performance prediction evaluation value may be high.
Thus, in some embodiments, the photovoltaic panel performance prediction evaluation value may be compared to a preset minimum performance prediction evaluation value, and if the photovoltaic panel performance prediction evaluation value is below the minimum performance prediction evaluation value, the connector performance prediction evaluation value needs to be increased by a certain value. And/or comparing the photovoltaic panel performance prediction evaluation value with a preset highest performance prediction evaluation value, and if the photovoltaic panel performance prediction evaluation value is higher than the highest performance prediction evaluation value, reducing the connector performance prediction evaluation value by a certain value.
The preset minimum performance prediction evaluation value and the highest performance prediction evaluation value can be set according to specific situations of the photovoltaic panel. The lowest performance prediction evaluation value may characterize a low performance prediction evaluation value that does not affect the performance of the connector, and the highest performance prediction evaluation value may characterize a high performance prediction evaluation value that does not affect the performance of the connector.
Further, as for the value to be reduced or increased, it may be determined from the difference between the photovoltaic panel performance prediction evaluation value and the preset corresponding performance prediction evaluation value, the larger the difference is, the larger the value to be reduced or increased is, but the range needs to be maintained.
In step 303, a second performance evaluation value is determined based on the second monitoring data. As an alternative embodiment, the historical state monitoring information of the state monitoring circuit includes: the total monitoring times and the target monitoring times of the state monitoring circuit, wherein the target monitoring times represent the times of monitoring abnormal states.
Correspondingly, step 303 includes: determining the monitoring success rate of the state monitoring circuit according to the total monitoring times and the target monitoring times; determining a first performance impact value according to the total monitoring times; determining a second performance impact value according to the monitoring success rate; and determining a second performance evaluation value according to the first performance influence value, the second performance influence value and the historical performance evaluation value.
The monitoring success rate may be a ratio of the target monitoring times to the total monitoring times.
In some embodiments, the corresponding performance impact value may be preset to be monitored once, and the performance impact value may be obtained through actual measurement. Thus, based on the preset relationship and the current total number of monitoring, a first performance impact value may be determined.
In some embodiments, performance impact values corresponding to different monitoring success rates may be preset, and the performance impact values may also be obtained through actual measurement. Thus, based on the preset relationship and the current monitoring success rate, a second performance impact value may be determined.
Further, a second performance evaluation value is determined based on the first performance impact value, the second performance impact value, and the historical performance evaluation value. It will be appreciated that since the total number of monitoring and the monitoring success rate may be equal in adjacent, closer performance monitoring cycles, it is necessary to determine a second performance evaluation value using the historical performance evaluation value when determining the second performance evaluation value.
It will be appreciated that if performance monitoring is first performed, the historical performance assessment value may be the initial highest performance assessment value.
Thus, as an alternative embodiment, the historical performance evaluation value includes the second performance evaluation value of the last monitoring period, and the performance impact value corresponding to the second performance evaluation value of the last monitoring period. It is understood that the related information for each monitoring period may be stored, so that the historical performance evaluation value may be obtained.
Further, determining the second performance evaluation value based on the first performance influence value, the second performance influence value, and the historical performance evaluation value, includes: determining a target performance impact value according to the first performance impact value and the second performance impact value; determining a difference value of the target performance impact value and the performance impact value corresponding to the second performance evaluation value of the previous monitoring period; and determining a second performance evaluation value according to the difference value and the second performance evaluation value of the last monitoring period.
In some embodiments, the target performance impact value may be an average or weighted sum of the first and second performance impact values.
It will be appreciated that the first and second performance impact values may be positive or negative or 0.
In some embodiments, the difference is summed with a second performance evaluation value of the last monitoring period to determine the second performance evaluation value.
It can be seen that for the second performance evaluation value, it can be understood that the performance evaluation value obtained in combination with the performance influence value on the basis of one basic performance evaluation value can characterize the performance evaluation value taking into consideration the influence of the state monitoring circuit.
In step 304, a performance monitoring result is determined based on the first performance evaluation value and the second performance evaluation value.
As an alternative embodiment, step 304 includes: determining first performance monitoring information according to the first performance evaluation value, wherein the first performance monitoring information is used for representing whether energy transmission of the MC4 connector is abnormal or not; determining second performance monitoring information according to the second performance evaluation value, wherein the second performance monitoring information is used for representing whether the state monitoring circuit is abnormal or not; determining monitoring prompt information according to the difference value of the performance evaluation values of the first performance evaluation value and the second performance evaluation value, wherein the monitoring prompt information is used for prompting a performance maintenance strategy; and generating a performance monitoring result according to the first performance monitoring information, the second performance monitoring information and the monitoring prompt information.
In some embodiments, the first performance assessment value is compared to a preset performance assessment value indicative of abnormal energy transfer, and if the first performance assessment value is below the preset performance assessment value indicative of abnormal energy transfer, the energy transfer of the MC4 connector is determined to be abnormal.
In some embodiments, the second performance assessment value is compared to a preset performance assessment value indicative of abnormal state monitoring, and if the second performance assessment value is below the preset performance assessment value indicative of abnormal state monitoring, a state monitoring circuit of the MC4 connector is determined to be abnormal. Note that the anomaly herein refers to an abnormality in the influence of the state monitoring circuit on performance.
In some embodiments, determining the monitoring hint information based on a performance evaluation value difference between the first performance evaluation value and the second performance evaluation value includes: if the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is less than or equal to a preset difference, determining the monitoring prompt information includes: performing performance maintenance on the MC4 connector according to the user requirements; if the difference value of the performance evaluation values is greater than or equal to 0 and the difference value of the performance evaluation values is greater than a preset difference value, determining the monitoring prompt information comprises: maintaining the connector of the MC4 connector; if the performance evaluation value difference is smaller than 0, determining the monitoring prompt information comprises: maintenance is performed on the output loop of the MC4 connector.
The preset difference may be a smaller value, for example, if the performance evaluation value is a value in the range of 0 to 100, the preset difference may be a value between 0 and 1.
It will be appreciated that if the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is less than or equal to the preset difference, the performance evaluation values representing the two dimensions are not greatly different and the performance of the output loop is higher than the performance of the state monitoring circuit, at this time, performance maintenance of the connector may not be required. Therefore, maintenance according to the user's own needs can be instructed.
If the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is greater than the preset difference, the performance evaluation value difference representing two dimensions is greater and the performance of the output loop is higher than that of the state monitoring loop, at this time, the connector needs to be maintained. Thus, determining the monitoring hint information includes: the connector assembly of the MC4 connector is serviced.
If the performance evaluation value difference is smaller than 0, the performance of the output loop is poor, and at this time, it may be determined that the monitoring prompt information includes: maintenance is performed on the output loop of the MC4 connector.
By means of different maintenance modes under different conditions, more targeted maintenance of the connector can be achieved.
Further, the performance monitoring result may include the first performance monitoring information, the second performance monitoring information and the monitoring prompt information, so that the user may perform corresponding processing according to the performance monitoring result.
In some embodiments, the performance monitoring method may further comprise: acquiring third monitoring data, wherein the third monitoring data comprises historical environment monitoring information of the working environment of the MC4 connector; according to the historical environment monitoring information, determining an environment monitoring result, wherein the environment monitoring result is used for representing whether the working environment is an environment adapting to the MC4 connector; and generating user feedback information according to the performance monitoring result and the environment monitoring result and feeding back the user feedback information.
In some embodiments, the connector is typically located in an outdoor environment, which can affect the performance of the connector if the outdoor environment is more complex. Thus, the environment can be monitored to obtain environmental monitoring results.
Wherein, the historical environmental monitoring information may include: high temperature, low temperature, ultraviolet ray, water, etc.
In some embodiments, environmental monitoring results may be determined using an environmental assessment model based on historical environmental monitoring information. The environmental assessment model may be a pre-trained model, and the training manner may refer to the foregoing embodiment.
Further, user feedback information is generated and fed back according to the performance monitoring result and the environment monitoring result.
In some embodiments, if both performance monitoring results and environmental monitoring results are less than ideal, for example: if the abnormal conditions of at least two items are included, alarm information can be added into the feedback information so as to remind a user to timely maintain.
As can be seen from the description of the embodiment of the present application, a state monitoring circuit is configured in the MC4 connector, and by using the state monitoring circuit, when an abnormality in a contact state is detected, the connection between the output loop of the MC4 connector and the energy transmission object can be disconnected, so that the performance of the MC4 connector can be affected to a certain extent by the state monitoring circuit; further, when performance monitoring of the MC4 connector is performed, a performance monitoring evaluation value of one dimension is determined through historical energy transmission monitoring information of the output loop; determining a performance monitoring value of another dimension through historical state monitoring information of a state monitoring circuit; therefore, the performance monitoring values of the two dimensions are integrated, and more accurate and comprehensive performance monitoring results are determined. Therefore, the technical scheme can combine the state monitoring data and the output loop monitoring data of the MC4 connector to realize accurate and comprehensive performance monitoring of the MC4 connector.
Referring to fig. 4, a block diagram of a performance monitoring device for a MC4 connector of a photovoltaic system according to an embodiment of the application includes:
The obtaining module 401 is configured to obtain first monitoring data and second monitoring data, where the first monitoring data includes historical energy transmission monitoring information of the output loop, and the second monitoring data includes historical state monitoring information of the state monitoring circuit.
A determining module 402, configured to: determining a first performance evaluation value according to the first monitoring data; determining a second performance evaluation value according to the second monitoring data; and determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value.
The implementation of the device can be found in the previous examples and will not be repeated here.
Referring to fig. 5, an embodiment of the present application further provides an electronic device, which may be used as the aforementioned monitoring terminal.
The electronic device comprises a processor 501 and a memory 502, the processor 501 being communicatively coupled to the memory 502.
The processor 501 and the memory 502 are electrically connected directly or indirectly to each other to realize transmission or interaction of data. For example, electrical connections may be made between these elements through one or more communication buses or signal buses. The foregoing modules or method steps performed by the respective interactive side each include at least one software functional module that may be stored in the memory 502 in the form of software or firmware (firmware).
The processor 501 may be an integrated circuit chip having signal processing capabilities. The processor 501 may be a general-purpose processor including a CPU (Central Processing Unit ), NP (Network Processor, network processor), etc.; but may be a digital signal processor, an application specific integrated circuit, an off-the-shelf programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. Which may implement or perform the disclosed methods, steps, and logic blocks in embodiments of the invention. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 502 may store various software programs and modules. The processor 501 executes various functional applications and data processing by running software programs and modules stored in the memory 502, i.e., implements the various steps of embodiments of the application.
Memory 502 may include, but is not limited to, RAM (Random Access Memory ), ROM (Read Only Memory), PROM (Programmable Read-Only Memory, programmable Read Only Memory), EPROM (Erasable Programmable Read-Only Memory, erasable Read Only Memory), EEPROM (Electric Erasable Programmable Read-Only Memory), and the like.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative, and that the electronic device may also include more or fewer components than shown in fig. 5, or have a different configuration than shown in fig. 5.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present application are presented for purposes of illustration and description. It is not intended to limit the application to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain the specific principles of the application and its practical application to thereby enable one skilled in the art to make and utilize the application in various exemplary embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the application be defined by the claims and their equivalents.
Claims (10)
1. A performance monitoring method of a MC4 connector of a photovoltaic system, wherein the MC4 connector includes a state monitoring circuit for monitoring a contact state of the MC4 connector and disconnecting the output circuit of the MC4 connector from an energy transmission object when an abnormality of the contact state is detected, the performance monitoring method comprising:
acquiring first monitoring data and second monitoring data, wherein the first monitoring data comprises historical energy transmission monitoring information of the output loop, and the second monitoring data comprises historical state monitoring information of the state monitoring circuit;
determining a first performance evaluation value according to the first monitoring data;
determining a second performance evaluation value according to the second monitoring data;
And determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value.
2. The performance monitoring method of claim 1, wherein the historical energy transfer monitoring information comprises: and determining a first performance evaluation value according to the first monitoring data, wherein the energy transmission information respectively corresponds to the plurality of historical time points comprises the following steps:
According to the energy transmission information respectively corresponding to the plurality of historical time points, determining the energy transmission information respectively corresponding to a plurality of target historical time points, wherein the plurality of target historical time points are historical time points which accord with preset illumination intensity conditions;
Determining a first performance prediction evaluation value according to the energy transmission information and the pre-trained performance evaluation model respectively corresponding to the plurality of target historical time points;
Determining a second performance prediction evaluation value according to the energy transmission information corresponding to the historical time points except the plurality of target historical time points and the pre-trained performance evaluation model;
And determining the first performance evaluation value according to the first performance prediction evaluation value and the second performance prediction evaluation value.
3. The performance monitoring method according to claim 2, wherein the preset illumination intensity condition includes: the illumination intensity is greater than first illumination intensity of predetermineeing, illumination intensity is less than second illumination intensity of predetermineeing or illumination intensity is located between second illumination intensity of predetermineeing and the first illumination intensity of predetermineeing, and the frequency of occurrence of illumination intensity is less than predetermineeing the frequency, performance monitoring method still includes:
Acquiring a first training data set, wherein the first training data set comprises a plurality of first sample energy transmission information, the plurality of first sample energy transmission information respectively corresponds to performance prediction evaluation value labels, and the illumination intensity corresponding to the plurality of first sample energy transmission information is illumination intensity with a change rule;
acquiring a second training data set, wherein the second training data set comprises a plurality of second sample energy transmission information, the plurality of second sample energy transmission information respectively corresponds to a performance prediction evaluation value label, and the illumination intensity corresponding to the plurality of second sample energy transmission information is illumination intensity without a change rule;
And training the performance evaluation model to be trained according to the first training data set and the second training data set to obtain a pre-trained performance evaluation model.
4. The performance monitoring method of claim 1, wherein the first monitoring data further comprises: the method for determining the first performance evaluation value according to the first monitoring data comprises the following steps of:
determining a connector performance prediction evaluation value according to the energy transmission information and the pre-trained connector performance evaluation model which correspond to the historical time points respectively;
Determining a photovoltaic panel performance prediction evaluation value according to the photovoltaic panel monitoring information and the pre-trained photovoltaic panel performance evaluation model which correspond to the historical time points respectively;
and determining the first performance evaluation value according to the connector performance prediction evaluation value and the photovoltaic panel performance prediction evaluation value.
5. The performance monitoring method of claim 1, wherein the historical state monitoring information of the state monitoring circuit comprises: the total monitoring times and the target monitoring times of the state monitoring circuit, the target monitoring times represent times of monitoring abnormal states, and the determining a second performance evaluation value according to the second monitoring data comprises:
Determining the monitoring success rate of the state monitoring circuit according to the total monitoring times and the target monitoring times;
determining a first performance impact value according to the total monitoring times;
determining a second performance impact value according to the monitoring success rate;
and determining the second performance evaluation value according to the first performance influence value, the second performance influence value and the historical performance evaluation value.
6. The performance monitoring method according to claim 5, wherein the historical performance evaluation value includes a second performance evaluation value of a last monitoring period and a performance impact value corresponding to the second performance evaluation value of the last monitoring period, and the determining the second performance evaluation value based on the first performance impact value, the second performance impact value, and the historical performance evaluation value includes:
determining a target performance impact value according to the first performance impact value and the second performance impact value;
determining a difference value of the target performance impact value and a performance impact value corresponding to a second performance evaluation value of a previous monitoring period;
and determining a second performance evaluation value according to the difference value and the second performance evaluation value of the last monitoring period.
7. The performance monitoring method according to claim 1, wherein the determining the performance monitoring result from the first performance evaluation value and the second performance evaluation value includes:
Determining first performance monitoring information according to the first performance evaluation value, wherein the first performance monitoring information is used for representing whether energy transmission of the MC4 connector is abnormal or not;
Determining second performance monitoring information according to the second performance evaluation value, wherein the second performance monitoring information is used for representing whether the state monitoring circuit is abnormal or not;
Determining monitoring prompt information according to a performance evaluation value difference value between the first performance evaluation value and the second performance evaluation value, wherein the monitoring prompt information is used for prompting a performance maintenance strategy;
and generating the performance monitoring result according to the first performance monitoring information, the second performance monitoring information and the monitoring prompt information.
8. The performance monitoring method according to claim 7, wherein the determining the monitoring hint information according to a performance evaluation value difference between the first performance evaluation value and the second performance evaluation value includes:
If the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is less than or equal to a preset difference, determining the monitoring prompt information includes: performing performance maintenance on the MC4 connector according to user requirements;
If the performance evaluation value difference is greater than or equal to 0 and the performance evaluation value difference is greater than the preset difference, determining the monitoring prompt information includes: maintaining the connector of the MC4 connector;
if the performance evaluation value difference is smaller than 0, determining the monitoring prompt information comprises: and maintaining the output loop of the MC4 connector.
9. The performance monitoring method according to claim 1, the performance monitoring method is characterized by further comprising the following steps:
Acquiring third monitoring data, wherein the third monitoring data comprises historical environment monitoring information of the working environment of the MC4 connector;
Determining an environment monitoring result according to the historical environment monitoring information, wherein the environment monitoring result is used for representing whether the working environment is an environment adapted to the MC4 connector;
And generating user feedback information and feeding back according to the performance monitoring result and the environment monitoring result.
10. A performance monitoring apparatus of a MC4 connector of a photovoltaic system, characterized in that the MC4 connector includes a state monitoring circuit for monitoring a contact state of the MC4 connector and disconnecting the output circuit of the MC4 connector from an energy transmission object when an abnormality of the contact state is monitored, the performance monitoring apparatus comprising:
The acquisition module is used for acquiring first monitoring data and second monitoring data, wherein the first monitoring data comprises historical energy transmission monitoring information of the output loop, and the second monitoring data comprises historical state monitoring information of the state monitoring circuit;
A determining module for:
determining a first performance evaluation value according to the first monitoring data;
determining a second performance evaluation value according to the second monitoring data;
And determining a performance monitoring result according to the first performance evaluation value and the second performance evaluation value.
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| CN114545134A (en) * | 2022-02-28 | 2022-05-27 | 瑞浦能源有限公司 | Fault early warning device, system and method of high-voltage connector |
| CN117872229A (en) * | 2023-11-28 | 2024-04-12 | 华能湖北新能源有限责任公司 | Monitoring method and system for MC4 joint |
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| CN103791947A (en) * | 2013-12-24 | 2014-05-14 | 浙江图维电力科技有限公司 | Cable running state intelligent monitoring system |
| CN110991519A (en) * | 2019-11-28 | 2020-04-10 | 上海宏力达信息技术股份有限公司 | Intelligent switch state analysis and adjustment method and system |
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