A distributed photovoltaic module DC carrier intelligent communication system
By analyzing the amplitude and spectral characteristics of the carrier signal, screening the reference time period and generating the recurring signal fragment, the problem of low data transmission efficiency in distributed photovoltaic components is solved, and efficient and reliable communication is achieved.
Patent Information
- Application Number
- CN202511045479.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-29
- Publication Date
- 2025-09-19
- Estimated Expiration
- 2045-07-29
AI Technical Summary
In distributed photovoltaic modules, there is a lack of an abnormal sampling and capture mechanism under the normal stable state of sensor data, resulting in low data transmission efficiency, especially high bandwidth occupancy when transmitting large amounts of data.
The relay labeling module analyzes the signal amplitude mutation and spectrum discreteness of the carrier signal, sets labels and divides the reference time period, and filters out the association relationship groups. The relay sending module only sends the carrier signal fragments of the reference time period. The analysis module generates the recurring signal fragments, and the communication adjustment module dynamically adjusts the bandwidth occupancy.
It reduces the amount of data transmission, ensures the reliability of the signal and the accuracy of the back-end analysis, adaptively adjusts the transmission method, and improves communication efficiency.
Smart Images

Figure CN120546730B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of carrier communications, and in particular to a distributed photovoltaic assembly DC carrier intelligent communication system. Background Art
[0002] In recent years, the large-scale application of photovoltaic power generation technology has led to the rapid development of distributed photovoltaic systems. In distributed photovoltaic power generation systems, it is necessary to collect a number of data from photovoltaic modules through sensors, and then monitor the photovoltaic modules through specific analysis algorithms or analysis models to ensure their normal operation. At present, due to the spatial dispersion of modules and the high cost of additional wiring, the communication signals of related sensors are often transmitted through multiplexing DC power lines, eliminating the need for additional cable laying and reducing deployment costs.
[0003] Chinese patent publication number: CN106487422A discloses a DC single-conductor carrier communication method for photovoltaic modules, which uses a single connecting wire to transmit DC power between photovoltaic modules for carrier communication. The photovoltaic modules are divided into several communication segments, with the monitoring module of the first module as the master, the monitoring modules of several other modules as segment masters, and the monitoring modules of other modules as slaves. The master and each segment master collect monitoring data from the monitoring modules of the modules in their respective segments through master-slave communication. Each segment master transmits all the collected monitoring data within its segment to the master via hand-in-hand communication, ensuring the reliability of data transmission between photovoltaic modules. The master transmits the monitoring data of the entire module series to the junction box module of the photovoltaic power station via wireless communication, and then transmits it to the DC distribution cabinet module via wireless communication. The data is then transmitted to the monitoring center via optical fiber Ethernet, and the monitoring center performs data analysis and processing.
[0004] However, the prior art still has the following problems:
[0005] In actual situations, since distributed photovoltaic panels involve a large number of sensors, the transmission of data from a large number of sensors requires a large amount of bandwidth. In addition, under normal circumstances, the data collected by the sensor end is in a stable state, usually within a certain range or the same for a certain period of time. The existing technology lacks a pre-emptive abnormal sampling and capture mechanism, and is less efficient when a large amount of data needs to be transmitted. Summary of the Invention
[0006] To this end, the present invention provides a distributed photovoltaic component DC carrier intelligent communication system to overcome the problem in the prior art that the data collected by the sensor end under normal circumstances is in a stable state, usually within a certain range or the same for a certain period of time, and the prior art lacks a pre-existing abnormal sampling and capture mechanism, resulting in low efficiency when a large amount of data needs to be transmitted.
[0007] To achieve the above objectives, the present invention provides a distributed photovoltaic module DC carrier intelligent communication system, comprising:
[0008] A relay tagging module, which is connected to the photovoltaic modules via DC power lines, is used to receive carrier signals sent by the sensors on the photovoltaic modules, determine the characteristics of the carrier signals, and set labels for the carrier signals in each time period based on the characteristics of the carrier signals;
[0009] a combination construction module connected to the relay labeling module, in response to the carrier signal being labeled within the time period, determining a start time, a number of intermediate times, and an end time based on the time period to form a marked time group;
[0010] a relay transmission module, connected to the combination construction module, configured to divide the time periods based on the marked time groups, select reference time periods, determine the carrier signal segments corresponding to the reference time periods, establish associations between the carrier signal segments and the reference time periods to form association relationship groups, and generate combined data for transmission using the carrier signal segments, association relationship groups, and marked time groups;
[0011] a parsing module connected to the relay sending module, configured to receive the combined data, locate the time period to which the carrier signal segment belongs based on the association relationship group, determine the signal window time period, generate a recurring signal segment based on the carrier signal segment in the reference time period adjacent to the signal window time period, and combine the carrier signal segment and the recurring signal segment to obtain a demand signal;
[0012] a communication adjustment module connected to the parsing module and the relay sending module, configured to obtain the communication bandwidth occupancy when the relay sending module sends data to the parsing module, and adjust the number of reference time periods based on the communication bandwidth occupancy;
[0013] Among them, the expression characteristics include the mean value of the signal amplitude mutation and the spectrum dispersion.
[0014] Furthermore, the relay tagging module receives the carrier signal sent by the photovoltaic module and determines the expression characteristics of the carrier signal, including:
[0015] To determine the signal amplitude of the carrier signal at each moment in the time period, compare the signal amplitudes at adjacent moments, determine the amount of signal amplitude mutation, and determine the mean value of the signal amplitude mutation;
[0016] constructing a spectrum graph corresponding to the carrier signal within the time period, and determining the variance of each peak in the spectrum graph as a spectrum discrete quantity;
[0017] The signal amplitude mutation amount is the difference in signal amplitudes between adjacent moments.
[0018] Furthermore, the relay tagging module sets labels for the carrier signals in each time period based on the manifestation characteristics, including:
[0019] Used to calculate the instability characterization of the formal characteristics based on the mean value of the signal amplitude mutation amount and the spectrum discrete amount;
[0020] Setting a label for the carrier signal based on a comparison result of an unstable characterization amount of the form feature and a preset stable characterization threshold;
[0021] Among them, if the unstable characterization value of the form feature is less than the preset stable characterization threshold, it is determined that the carrier signal is labeled.
[0022] Furthermore, the relay annotation module calculates the instability characterization of the formal characteristics based on the mean value of the signal amplitude mutation and the spectrum discreteness, including:
[0023] The ratio of the signal amplitude mutation amount mean to the signal mutation threshold is used to determine the amplitude instability parameter;
[0024] The ratio of the spectrum discrete amount to the spectrum discrete threshold is determined as a spectrum instability parameter;
[0025] It is used to perform weighted summation of amplitude instability parameters and spectrum instability parameters to determine the formal characteristic instability characterization quantity.
[0026] Furthermore, the relay transmission module is used to determine the carrier signal segment corresponding to the reference time period, and to establish an association relationship between the carrier signal segment and the reference time period to form an association relationship group including:
[0027] Used to call the marked time group, divide several time periods based on the starting time, several intermediate time periods and the ending time, and select some time periods in each time period with the corresponding screening interval as reference time periods;
[0028] It is used to determine the carrier signal segment corresponding to the reference time period, establish the association relationship between the reference time period and the carrier signal segment, record each association relationship, and obtain an association relationship group.
[0029] Furthermore, the relay sending module is further configured to directly send the carrier signal that is not marked within the time period as the demand signal.
[0030] Furthermore, the analysis module determines that the signal window time period includes:
[0031] Used to call the marked time group and divide several time periods based on the starting time, several intermediate times and the ending time;
[0032] It is used to mark the reference time period in each time period based on the association relationship group, and determine the continuous non-reference time periods as a single signal window time period.
[0033] Furthermore, the parsing module generates a recurring signal segment based on a carrier signal segment in a signal window period adjacent to a reference period, including:
[0034] It is used to determine the carrier signal segment in the first adjacent reference time period to generate a recurring signal segment corresponding to the signal window time period.
[0035] Furthermore, the analysis module combines the carrier signal segment and the recurrence signal segment to obtain the demand signal, including:
[0036] It is used to splice the carrier signal segment corresponding to the reference time period and the recurrence signal segment corresponding to the signal window time period in sequence in time to determine the demand signal.
[0037] Furthermore, the communication adjustment module adjusts the number of reference time periods based on the communication bandwidth occupancy, including:
[0038] Among them, the number of reference time periods is negatively correlated with the communication bandwidth occupancy.
[0039] Compared with the existing technology, the present invention uses a relay labeling module to extract the mean value of the signal amplitude mutation amount and the spectrum discrete amount of the carrier signal in real time, and based on the unstable characterization of the formal characteristics, screens the high-stability signal period and sets a label. The combined construction module dynamically generates a marked time group. The relay sending module only sends the carrier signal fragments and the association relationship group corresponding to the reference period, reducing the amount of information sent. The parsing module fills the signal window by copying adjacent reference fragments, reproduces the signal fragments, reconstructs the demand signal, and ensures signal continuity. The communication adjustment module monitors the communication bandwidth mean in real time and dynamically adjusts the number of reference time periods. The present invention analyzes the carrier signal in advance, adaptively adjusts the transmission mode, reduces the amount of data transmission, and ensures the reliability of the demand signal used in the back-end analysis.
[0040] In particular, the present invention considers the expression characteristics of the carrier signal. In actual situations, the data detected by the sensor is usually within a certain range or the same within a certain time. Moreover, if the data changes, the signal characteristics corresponding to the carrier signal carrying the data will change. The sensor data usually needs to be loaded into the carrier signal through various modulation methods. Usually, when the data remains stable, the signal amplitude of the carrier signal also remains highly stable. When the data suddenly changes, the modulation will change the signal amplitude of the carrier signal, causing fluctuations. In addition, the signal mutation will introduce high-frequency components, resulting in short-term mutations in the spectrum. Therefore, the two dimensions are comprehensively considered, and the expression characteristics are easy to extract, and then the instability characterization of the form characteristics is calculated to characterize whether the sensor value corresponding to the carrier signal has changed or deviated from the normal state. Based on this, a label is set for the carrier signal within the time period to provide a basis for the subsequent adaptive transmission of the carrier signal. Then, the carrier signal is analyzed in advance, the transmission method is adaptively adjusted, the data transmission volume is reduced, and the reliability of the demand signal used for the back-end analysis is guaranteed.
[0041] In particular, the present invention screens the reference time period, determines the correlation between the carrier signal segment and the reference time period, and then forms combined data for transmission. In actual situations, the marked carrier signal represents that the corresponding sensor data is in a relatively stable state, and the similarity of each carrier signal segment is high. Some carrier signal segments of the carrier signal have data representation for the overall carrier signal within the time period. Therefore, the present invention only screens part of the reference time period to determine that the corresponding carrier signal segments constitute the combined data. Since the combined data only contains part of the carrier signal segments, the data transmission volume can be greatly reduced, and it is convenient to subsequently generate the reproduced signal segment to restore the demand signal, and then analyze the carrier signal in advance, adaptively adjust the transmission mode, reduce the data transmission volume, and ensure the reliability of the demand signal used in the back-end analysis.
[0042] In particular, the analysis module of the present invention can locate the time period to which the carrier signal belongs based on the information in the association relationship group. Since the corresponding similarities of the marked carrier signals are high and the corresponding sensor data are in a relatively stable state, the carrier signal segments in the signal window time period adjacent to the reference time period can be used to generate reproduced signal segments. Moreover, the generated reproduced signal segments have a high confidence level, so that the confidence level of the combined demand signal is high and it has reliability in subsequent analysis applications. Furthermore, by analyzing the carrier signal in advance, the transmission mode is adaptively adjusted to reduce the amount of data transmission and ensure the reliability of the demand signal used in the back-end analysis.
[0043] In particular, the present invention addresses the potential for insufficient bandwidth resource utilization under a fixed reference time period division scheme. In practice, fluctuations in communication bandwidth can render this fixed reference time period division incapable of adapting to actual transmission needs. By dynamically monitoring the average communication bandwidth, the number of reference time periods is intelligently adjusted. When communication bandwidth is redundant, idle resources are utilized to appropriately increase the number of reference time periods, thereby increasing the number of carrier signal segments and improving the reliability of the reproduced signal. When communication bandwidth is limited, the number of reference time periods is appropriately reduced to alleviate bandwidth pressure. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Figure 1 A simplified structural diagram of a distributed photovoltaic module DC carrier intelligent communication system according to an embodiment of the invention;
[0045] Figure 2 A logic block diagram of setting a label for a carrier signal according to an embodiment of the invention;
[0046] Figure 3 A logic block diagram of a data transmission method of a relay transmission module according to an embodiment of the invention;
[0047] Figure 4 Schematic diagram of demand signal splicing according to an embodiment of the invention. DETAILED DESCRIPTION
[0048] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.
[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.
[0050] It should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.
[0051] See also Figure 1 As shown, it is a simplified structural diagram of the distributed photovoltaic assembly DC carrier intelligent communication system according to an embodiment of the present invention. The distributed photovoltaic assembly DC carrier intelligent communication system according to an embodiment of the present invention includes:
[0052] A relay tagging module, which is connected to the photovoltaic modules via DC power lines, is used to receive carrier signals sent by the sensors on the photovoltaic modules, determine the characteristics of the carrier signals, and set labels for the carrier signals in each time period based on the characteristics of the carrier signals;
[0053] a combination construction module connected to the relay labeling module, in response to the carrier signal being labeled within the time period, determining a start time, a number of intermediate times, and an end time based on the time period to form a marked time group;
[0054] a relay transmission module, connected to the combination construction module, configured to divide the time periods based on the marked time groups, select reference time periods, determine the carrier signal segments corresponding to the reference time periods, establish associations between the carrier signal segments and the reference time periods to form association relationship groups, and generate combined data for transmission using the carrier signal segments, association relationship groups, and marked time groups;
[0055] a parsing module connected to the relay sending module, configured to receive the combined data, locate the time period to which the carrier signal segment belongs based on the association relationship group, determine the signal window time period, generate a recurring signal segment based on the carrier signal segment in the reference time period adjacent to the signal window time period, and combine the carrier signal segment and the recurring signal segment to obtain a demand signal;
[0056] a communication adjustment module connected to the parsing module and the relay sending module, configured to obtain the communication bandwidth occupancy when the relay sending module sends data to the parsing module, and adjust the number of reference time periods based on the communication bandwidth occupancy;
[0057] Among them, the expression characteristics include the mean value of the signal amplitude mutation and the spectrum dispersion.
[0058] In implementation, there is no limitation on the method of converting the data collected by the sensor into a carrier signal. For example, an adaptive modulation method can be used to achieve the corresponding purpose. Those skilled in the art can make their own choices and will not be elaborated here.
[0059] Specifically, there is no limitation on the specific structures of the relay labeling module, the combination construction module, the relay sending module, the parsing module, and the communication adjustment module. They can all be composed of logic components or a combination of logic components. The logic components include field programmable processors, computers, or microprocessors in computers. The logic components must have the ability to analyze, receive, send, and convert signals, which will not be elaborated here.
[0060] Specifically, the relay sending module can be set on the carrier line to pre-analyze the carrier signal of the carrier line, for example, set at the relay node of the carrier line. Of course, it can also be in other forms, which will not be described in detail.
[0061] Specifically, the analysis module can be provided at the receiving end of the carrier line to reproduce the demand signal for analysis by the receiving end.
[0062] Specifically, the relay labeling module receives the carrier signal sent by the photovoltaic module and determines the characteristics of the carrier signal, including:
[0063] To determine the signal amplitude of the carrier signal at each moment in the time period, compare the signal amplitudes at adjacent moments, determine the amount of signal amplitude mutation, and determine the mean value of the signal amplitude mutation;
[0064] constructing a spectrum graph corresponding to the carrier signal within the time period, and determining the variance of each peak in the spectrum graph as a spectrum discrete quantity;
[0065] The signal amplitude mutation amount is the difference in signal amplitudes between adjacent moments.
[0066] See also Figure 2 As shown, it is a logic block diagram of setting labels for carrier signals according to an embodiment of the present invention. The relay labeling module sets labels for carrier signals in each time period based on the expression characteristics, including:
[0067] Used to calculate the instability characterization of the formal characteristics based on the mean value of the signal amplitude mutation amount and the spectrum discrete amount;
[0068] Setting a label for the carrier signal based on a comparison result of an unstable characterization amount of the form feature and a preset stable characterization threshold;
[0069] Among them, if the unstable characterization value of the form feature is less than the preset stable characterization threshold, it is determined that the carrier signal is labeled.
[0070] The preset stability marking threshold is predetermined, and a technician in this field obtains the corresponding carrier signals in several time periods when the sensor is working normally and the photovoltaic components are normal, analyzes the manifestation characteristics of the carrier signals in each time period, and determines the unstable characterization quantity of the formal characteristics, solves the average value of the unstable characterization quantity of the formal characteristics, and sets the solved average value of the unstable characterization quantity of the formal characteristics as the preset stability characterization threshold.
[0071] The present invention takes into account the expression characteristics of the carrier signal. In actual situations, the data detected by the sensor is usually within a certain range or the same within a certain time. Moreover, if the data changes, the signal characteristics corresponding to the carrier signal carrying the data will change. The sensor data usually needs to be loaded into the carrier signal through various modulation methods. Usually, when the data remains stable, the signal amplitude of the carrier signal also remains highly stable. When the data mutates, the modulation will change the signal amplitude of the carrier signal, causing fluctuations. In addition, the signal mutation will introduce high-frequency components, resulting in short-term mutations in the spectrum. Therefore, the two dimensions are comprehensively considered, and the expression characteristics are easy to extract, and then the instability characterization of the form characteristics is calculated to characterize whether the sensor value corresponding to the carrier signal has changed or deviated from the normal state. Based on this, a label is set for the carrier signal within the time period to provide a basis for the subsequent adaptive transmission of the carrier signal. Then, the carrier signal is analyzed in advance, the transmission mode is adaptively adjusted, the data transmission volume is reduced, and the reliability of the demand signal used for the back-end analysis is guaranteed.
[0072] Specifically, the relay annotation module calculates the instability characterization of the formal features based on the mean of the signal amplitude mutation and the spectrum discreteness, including:
[0073] The ratio of the signal amplitude mutation amount mean to the signal mutation threshold is used to determine the amplitude instability parameter;
[0074] The ratio of the spectrum discrete amount to the spectrum discrete threshold is determined as a spectrum instability parameter;
[0075] It is used to perform weighted summation of amplitude instability parameters and spectrum instability parameters to determine the formal characteristic instability characterization quantity.
[0076] Specifically, the signal mutation threshold is predetermined, where
[0077] A technician in this field pre-obtains the corresponding carrier signals in several time periods when the sensor is working normally and the photovoltaic components are normal, records the mean value of the signal amplitude mutation of the carrier signal in each time period, solves the normal distribution corresponding to the mean value of the signal amplitude mutation, and determines the right boundary value of the 95% confidence interval as the signal mutation threshold.
[0078] Specifically, the spectrum discrete threshold is predetermined, where:
[0079] A person skilled in the art shall pre-acquire the corresponding carrier signals in several time periods when the sensor is operating normally and the photovoltaic modules are operating normally, record the spectral discreteness of the carrier signals in each time period, solve the normal distribution corresponding to the spectral discreteness, and determine the right boundary value of the 95% confidence interval as the spectral discreteness threshold.
[0080] In an embodiment of the present invention, in the calculation of the formal feature instability characterization quantity, the spectral instability parameter weight is configured to be higher than the amplitude instability parameter to enhance the contribution of spectral distortion to stability judgment. In the exemplary configuration, the spectral weight can be set to 0.55 and the amplitude weight is set to 0.45. In actual application, it can be dynamically adjusted according to the component type.
[0081] See also Figure 3 As shown, it is a logic block diagram of the data sending method of the relay sending module in an embodiment of the present invention.
[0082] Specifically, the relay sending module is used to determine the carrier signal segment corresponding to the reference time period, and to establish an association relationship between the carrier signal segment and the reference time period to form an association relationship group including:
[0083] Used to call the marked time group, divide several time periods based on the starting time, several intermediate time periods and the ending time, and select some time periods in each time period with the corresponding screening interval as reference time periods;
[0084] It is used to determine the carrier signal segment corresponding to the reference time period, establish the association relationship between the reference time period and the carrier signal segment, record each association relationship, and obtain an association relationship group.
[0085] In implementation, the start time, the middle time and the end time are marked on the time axis in chronological order, thereby forming several time periods.
[0086] The screening interval should not be too large to ensure the number of reference time periods. In practice, the screening interval can be set to 3 time periods. Of course, those skilled in the art can adjust it according to specific needs.
[0087] In implementation, preferably, the beginning time period and the end time period within the time period need to be screened out.
[0088] In implementation, preferably, when recording the association relationship, the beginning and end times of the corresponding reference time period are recorded simultaneously, so as to facilitate subsequent marking of the reference time period from various time periods.
[0089] The present invention screens the reference time period, determines the correlation between the carrier signal segment and the reference time period, and then forms combined data for transmission. In actual situations, the marked carrier signal represents that the corresponding sensor data is in a relatively stable state, and the similarity of each carrier signal segment is high. Some carrier signal segments of the carrier signal have data representation for the overall carrier signal within the time period. Therefore, the present invention only screens part of the reference time period to determine that the corresponding carrier signal segments constitute the combined data. Since the combined data only contains part of the carrier signal segments, the data transmission volume can be greatly reduced, and it is convenient to subsequently generate the reproduced signal segment to restore the demand signal, and then analyze the carrier signal in advance, adaptively adjust the transmission mode, reduce the data transmission volume, and ensure the reliability of the demand signal used in the back-end analysis.
[0090] Specifically, the relay sending module is further configured to directly send the carrier signal that is not marked within the time period as the demand signal.
[0091] Specifically, the analysis module determines that the signal window time period includes:
[0092] Used to call the marked time group and divide several time periods based on the starting time, several intermediate times and the ending time;
[0093] It is used to mark the reference time period in each time period based on the association relationship group, and determine the continuous non-reference time periods as a single signal window time period.
[0094] Specifically, the analysis module generates a recurring signal segment based on a carrier signal segment in a signal window period adjacent to a reference period, including:
[0095] It is used to determine the carrier signal segment in the first adjacent reference time period to generate a recurring signal segment corresponding to the signal window time period.
[0096] It is understandable that the signal window period is longer than the adjacent reference period. Therefore, a corresponding number of carrier signal segments need to be copied and combined to generate reproduced signal segments, which will not be elaborated here.
[0097] It can be understood that, for the signal window time period, both ends thereof include reference time periods, and the reference time periods correspond to carrier signal segments.
[0098] Specifically, the parsing module combines the carrier signal segment and the recurrence signal segment to obtain the demand signal, including:
[0099] It is used to splice the carrier signal segment corresponding to the reference time period and the recurrence signal segment corresponding to the signal window time period in sequence in time to determine the demand signal.
[0100] In practice, there is no limitation on the splicing method, and it is only necessary to ensure the continuity of the signal, which will not be elaborated here.
[0101] See also Figure 4 As shown, Figure 4 This is a schematic diagram of demand signal splicing according to an embodiment of the invention.
[0102] Taking the carrier signal having the first reference segment A1, the second reference segment A2 and the third reference segment A3 as an example, a first replicated signal segment B1 and a second replicated signal segment B2 are generated;
[0103] The first reference segment A1 , the first reproduced signal segment B1 , the second reference segment A2 , the second reproduced signal segment B2 and the third reference segment A3 are sequentially spliced according to a time sequence to generate a corresponding demand signal.
[0104] The analysis module of the present invention can locate the time period to which the carrier signal belongs based on the information in the association relationship group. Since the corresponding similarities of the marked carrier signals are high and the corresponding sensor data are in a relatively stable state, the carrier signal segments in the signal window time period adjacent to the reference time period can be used to generate reproduced signal segments. Moreover, the generated reproduced signal segments have a high confidence level, so that the confidence level of the combined demand signal is high and it has reliability in subsequent analysis applications. Furthermore, by analyzing the carrier signal in advance, the transmission mode is adaptively adjusted, the data transmission volume is reduced, and the reliability of the demand signal used in the back-end analysis is guaranteed.
[0105] Specifically, the communication adjustment module adjusts the number of reference time periods based on the communication bandwidth occupancy, including:
[0106] Among them, the number of reference time periods is negatively correlated with the communication bandwidth occupancy.
[0107] In implementation, optionally,
[0108] Maintaining the number of reference time slots within the predetermined bandwidth occupancy range;
[0109] If it is greater than the upper limit of the predetermined bandwidth occupancy range, the screening interval is adjusted to 4 to reduce the number of reference time periods;
[0110] If it is within the predetermined bandwidth occupancy range, the screening interval is maintained at 3;
[0111] If it is less than the lower limit of the predetermined bandwidth occupancy range, the screening interval is adjusted to 2 to increase the number of reference time periods;
[0112] In implementation, to ensure a certain redundancy of bandwidth and maintain a certain utilization rate, the upper limit of the reserved bandwidth occupancy range is 60%, and the lower limit of the reserved bandwidth range is 45%.
[0113] This invention addresses the potential for insufficient bandwidth resource utilization using a fixed reference time period. In practice, fluctuations in communication bandwidth can make this fixed reference time period inadequate for actual transmission needs. By dynamically monitoring the average communication bandwidth, the number of reference time periods is intelligently adjusted. When communication bandwidth is redundant and idle, the number of reference time periods is appropriately increased to increase the number of carrier signal segments and improve the reliability of the reproduced signal. When communication bandwidth is limited, the number of reference time periods is appropriately reduced to alleviate bandwidth pressure.
[0114] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.
Claims
1. A distributed photovoltaic module DC carrier intelligent communication system, characterized in that: include: A relay tagging module, which is connected to the photovoltaic modules via DC power lines, is used to receive carrier signals sent by the sensors on the photovoltaic modules, determine the characteristics of the carrier signals, and set labels for the carrier signals in each time period based on the characteristics of the carrier signals; a combination construction module connected to the relay labeling module, responsive to a carrier signal being labeled within a time period, and determining a start time, a plurality of intermediate times, and an end time based on the time period to form a marked time group; a relay transmission module, connected to the combination construction module, configured to divide the time periods based on the marked moment groups, select reference time periods, determine carrier signal segments corresponding to the reference time periods, establish associations between the carrier signal segments and the reference time periods to form association relationship groups, and generate combined data for transmission using the carrier signal segments, association relationship groups, and marked moment groups; a parsing module connected to the relay sending module, configured to receive the combined data, locate the time period to which the carrier signal segment belongs based on the association relationship group, determine the signal window time period, generate a recurring signal segment based on the carrier signal segment in the reference time period adjacent to the signal window time period, and combine the carrier signal segment and the recurring signal segment to obtain a demand signal; a communication adjustment module connected to the parsing module and the relay sending module, configured to obtain the communication bandwidth occupancy when the relay sending module sends data to the parsing module, and adjust the number of reference time periods based on the communication bandwidth occupancy; Among them, the expression characteristics include the mean value of the signal amplitude mutation and the spectrum dispersion.
2. The distributed photovoltaic module DC carrier intelligent communication system according to claim 1, characterized in that: The relay marking module receives the carrier signal sent by the photovoltaic module and determines the characteristics of the carrier signal. include, To determine the signal amplitude of the carrier signal at each moment in the time period, compare the signal amplitudes at adjacent moments, determine the amount of signal amplitude mutation, and determine the mean value of the signal amplitude mutation; constructing a spectrum graph corresponding to the carrier signal within the time period, and determining the variance of each peak in the spectrum graph as a spectrum discrete quantity; The signal amplitude mutation amount is the difference in signal amplitudes between adjacent moments.
3. The distributed photovoltaic module DC carrier intelligent communication system according to claim 2, characterized in that: The relay labeling module sets labels for the carrier signals in each time period based on the performance characteristics, including: Used to calculate the instability characterization of the formal characteristics based on the mean value of the signal amplitude mutation amount and the spectrum discrete amount; Setting a label for the carrier signal based on a comparison result of an unstable characterization amount of the form feature and a preset stable characterization threshold; Among them, if the unstable characterization value of the form feature is less than the preset stable characterization threshold, it is determined that the carrier signal is labeled.
4. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 3, characterized in that: The relay annotation module calculates the instability characterization of the formal features based on the mean of the signal amplitude mutation and the spectrum discreteness, including: The ratio of the signal amplitude mutation amount mean to the signal mutation threshold is used to determine the amplitude instability parameter; The ratio of the spectrum discrete amount to the spectrum discrete threshold is determined as a spectrum instability parameter; It is used to perform weighted summation of amplitude instability parameters and spectrum instability parameters to determine the formal characteristic instability characterization quantity.
5. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 1, characterized in that: The relay transmission module is used to determine the carrier signal segment corresponding to the reference time period, and to establish an association relationship between the carrier signal segment and the reference time period to form an association relationship group, including: Used to call the marked time group, divide several time periods based on the starting time, several intermediate time periods and the ending time, and select some time periods in each time period with the corresponding screening interval as reference time periods; It is used to determine the carrier signal segment corresponding to the reference time period, establish the association relationship between the reference time period and the carrier signal segment, record each association relationship, and obtain an association relationship group.
6. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 1, characterized in that: The relay sending module is further used to directly send the carrier signal that is not marked within the time period as a demand signal.
7. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 5, characterized in that: The analysis module determines that the signal window time period includes: Used to call the marked time group and divide several time periods based on the starting time, several intermediate times and the ending time; It is used to mark the reference time period in each time period based on the association relationship group, and determine the continuous non-reference time periods as a single signal window time period.
8. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 7, characterized in that: The analyzing module generates a recurring signal segment based on a carrier signal segment in a signal window time period adjacent to a reference time period, including: It is used to determine the carrier signal segment in the first adjacent reference time period to generate a recurring signal segment corresponding to the signal window time period.
9. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 1, characterized in that: The analysis module combines the carrier signal segment and the recurrence signal segment to obtain the demand signal, including: It is used to splice the carrier signal segment corresponding to the reference time period and the recurrence signal segment corresponding to the signal window time period in sequence in time to determine the demand signal.
10. The distributed photovoltaic assembly DC carrier intelligent communication system according to claim 1, characterized in that: The communication adjustment module adjusts the number of reference time periods based on the communication bandwidth occupancy, including: Among them, the number of reference time periods is negatively correlated with the communication bandwidth occupancy.
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