Photovoltaic terminal intelligent management system based on data interaction module

Abstract

This invention relates to the field of photovoltaic technology, and more particularly to a photovoltaic terminal intelligent management system based on a data interaction module, including photovoltaic terminal equipment, a data interaction module, and a cloud management platform. The invention analyzes the communication method from the perspective of communication quality and cost, comprehensively evaluating both dimensions to obtain a dual-channel or preferred channel. This allows for real-time response to changes in the network environment, ensuring data transmission reliability while optimizing communication resource utilization. Furthermore, it implements traffic distribution management to achieve intelligent load balancing, accompanied by dynamic adjustment of the distributed data volume for precise control. Under stable data interaction, it provides in-depth status management of the photovoltaic terminal equipment, enabling users to take timely measures to address abnormal photovoltaic terminal equipment. Simultaneously, it includes a fault response performance evaluation process for intelligent photovoltaic terminal management to ensure timely fault response.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic technology, and in particular to a photovoltaic terminal intelligent management system based on a data interaction module. Background Technology

[0002] With the increasing prominence of the global energy crisis and environmental problems, solar energy, as a clean and renewable energy source, has been widely used. Photovoltaic systems are key equipment for generating electricity using solar energy, and their operating efficiency and stability directly affect the utilization effect of solar energy. Currently, the management of photovoltaic terminals mostly adopts manual inspection or local monitoring, which has problems such as low management efficiency and poor real-time performance. At the same time, some photovoltaic systems have introduced remote monitoring functions, but due to the inefficient and unstable data interaction between photovoltaic terminals and management platforms, inaccurate monitoring data and delayed response to control commands have occurred, affecting the level of intelligent management of photovoltaic systems. To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0003] The purpose of this invention is to provide a photovoltaic terminal intelligent management system based on a data interaction module to address the aforementioned technical deficiencies. This invention comprehensively evaluates communication quality and communication cost to obtain a dual-channel or preferred channel, which can respond to changes in the network environment in real time. While ensuring data transmission reliability, it optimizes the utilization rate of communication resources. Furthermore, it manages the communication method by diverting traffic, achieving intelligent load balancing. Simultaneously, it dynamically adjusts the diverted data volume to precisely control the diverted data volume. Under the premise of stable data interaction, it deeply manages the status of photovoltaic terminal equipment, enabling users to take timely measures to handle abnormal photovoltaic terminal equipment. This is accompanied by a fault response performance evaluation process for intelligent photovoltaic terminal management to achieve timely fault response.

[0004] The objective of this invention can be achieved through the following technical solution: a photovoltaic terminal intelligent management system based on a data interaction module, comprising photovoltaic terminal equipment, a data interaction module, and a cloud management platform; The cloud management platform includes a communication acquisition unit, a communication routing unit, a dynamic routing unit, a status acquisition unit, and a backend visualization unit. The communication acquisition unit is used to collect network communication information between the data interaction module and the cloud management platform through various communication methods, and to conduct communication stability evaluation and analysis on the network communication information to obtain the dual-channel or preferred channel. The communication splitting unit is used to perform intelligent splitting management and analysis on the load rate of the current communication method, obtain the splitting channel, and determine whether the splitting channel is available, and obtain the available signal or the unavailable signal. The dynamic splitting unit is used to intelligently split and dynamically adjust the amount of data collected based on the actual load rate and optimal load rate of the current communication method, and obtain the splitting value Fi for each interactive data. Based on the current communication method, the status acquisition unit performs status evaluation and analysis on the basic status data of the collected photovoltaic terminal equipment to determine whether the current status of each photovoltaic terminal equipment is normal, and obtains response delay signal or response time signal.

[0005] Preferably, the data interaction module is communicatively connected to the photovoltaic terminal equipment, and the cloud management platform is communicatively connected to the data interaction module; the photovoltaic terminal equipment includes photovoltaic modules, inverters, and combiner boxes; The data interaction module includes a data acquisition unit, a data processing unit, and a communication unit.

[0006] Preferably, the analysis process of the communication acquisition unit is as follows: The network communication information between the data interaction module and the cloud management platform is obtained, including signal strength, bit error rate, and transmission latency. The network communication information is preprocessed, and the preprocessed network communication information is input into a pre-set communication quality scoring model to obtain the communication quality score output by the pre-set communication quality scoring model.

[0007] Preferably, the communication cost information of each communication method between the data interaction module and the cloud management platform is obtained. The communication cost information includes communication energy consumption cost and communication tariff cost. At the same time, the preset weight coefficients corresponding to each parameter in the communication cost information are obtained. The sum of the products of each parameter in the communication cost information and the corresponding preset weight coefficients is set as the communication cost score. Obtain the preset weight coefficient a1 for communication quality score and the preset weight coefficient a2 for communication cost score. Set the value obtained by adding the product of communication quality score and preset weight coefficient a1 to the product of communication cost score and preset weight coefficient a2 as the comprehensive communication score. Obtain the difference between the highest score and the second highest score, and determine whether the difference between the highest score and the second highest score is less than a preset threshold. If it is, set the communication mode corresponding to the highest score and the second highest score as dual-channel. If not, set the communication mode corresponding to the highest score as the preferred channel.

[0008] Preferably, the analysis process of the communication splitting unit is as follows: Set the dual-channel or preferred channel as the current communication mode, obtain the load rate of the current communication mode, and determine whether the load rate of the current communication mode exceeds the preset load rate threshold. If it does, generate a split signal; otherwise, generate a normal signal. When a split signal is generated, the overall communication score of each communication method other than the current communication method is obtained, and the highest score in the overall communication score is set as the split channel.

[0009] Preferably, the communication status of the communication component of the split channel is obtained, including normal status and abnormal status, and the communication status is judged and processed. If the communication status is normal, a feedback signal is generated. If the communication status is abnormal, an unusable signal is generated. The unusable signal is responded to to detect the next communication mode until a feedback signal is generated. When a feedback signal is generated, the signal strength and bit error rate of the split channel are obtained, and the signal strength and bit error rate are processed to determine whether the channel is available or unavailable. If the split channel is unavailable, the communication method of the next bit is checked in turn until a communication method is found to be available, and an availability signal is generated at the same time. If all traffic distribution channels are unavailable, then the local caching mechanism will be activated.

[0010] Preferably, the analysis process of the dynamic splitting unit is as follows: Obtain the actual load rate and optimal load rate of the current communication method, and subtract the optimal load rate from the actual load rate of the current communication method to obtain the overload data rate; Obtain the current load rate and maximum carrying capacity of the diversion channel, and set the value obtained by multiplying the maximum carrying capacity of the diversion channel by (1 - the current load rate of the diversion channel) as the carrying capacity margin; Obtain the minimum value between the overload data rate and the carrying capacity, and set the minimum value between the overload data rate and the carrying capacity as the amount of data to be diverted; The pre-partitioning results of the transmitted data are obtained. These pre-partitioning results include high-priority data, medium-priority data, and low-priority data. These high-priority, medium-priority, and low-priority data are collectively referred to as interactive data Ji, where i = 1, 2, 3. The pre-set diversion control coefficient corresponding to the interaction data Ji is obtained, and the value obtained by multiplying the diversion data volume by the pre-set diversion control coefficient corresponding to each interaction data Ji is set as the diversion value Fi.

[0011] Preferably, the analysis process of the state acquisition unit is as follows: Based on the current communication method, the basic status data of the photovoltaic terminal equipment is obtained in real time. Based on the basic status data, multi-item test analysis is performed on the photovoltaic terminal equipment. The multi-item test analysis includes performance test and health test. The output results of the multi-item test analysis are obtained, and the output results include qualified and unqualified. Furthermore, the output results of multi-item test analysis of photovoltaic terminal equipment are subjected to discriminant analysis to obtain real-time stable signals or risk signals; When a risk signal is generated, the management response information of the photovoltaic terminal equipment is obtained. The management response information includes the automatic repair time and the manual intervention response time. The sum of the automatic repair time and the manual intervention response time is obtained, and the sum of the automatic repair time and the manual intervention response time is set as the total resolution time. The system then determines whether the total resolution time exceeds the preset total resolution time threshold to obtain a response delay signal or a response time signal.

[0012] The beneficial effects of this invention are as follows: (1) This invention analyzes from the perspective of communication method, and comprehensively evaluates from the two dimensions of communication quality and communication cost to obtain dual-channel or preferred channel, that is, it can respond to changes in network environment in real time, optimize the utilization rate of communication resources and reduce operating costs while ensuring the reliability of data transmission, and at the same time ensure stable information transmission between data interaction module and cloud management platform. (2) The present invention further manages the communication method by splitting the traffic, which can realize intelligent load balancing of communication. It not only ensures the real-time transmission of high-priority data, but also makes full use of the bandwidth resources of each communication method, avoiding data transmission delay or loss caused by overload of a single channel, and significantly improving the communication stability of intelligent management of photovoltaic terminals. At the same time, with the dynamic adjustment process of the split data volume, it can accurately control the split data volume while ensuring the quality of key data transmission, which can alleviate the load pressure of the main channel and make full use of the split channel resources to achieve efficient and balanced operation of the overall communication. (3) Under the premise of stable data interaction, the present invention performs in-depth status management of photovoltaic terminal equipment, determines whether the current status of each photovoltaic terminal equipment is normal, so that users can take timely measures to deal with abnormal photovoltaic terminal equipment. At the same time, the fault response performance evaluation process of photovoltaic terminal intelligent management is carried out to achieve timely fault response. Attached Figure Description

[0013] The invention will now be further described with reference to the accompanying drawings; Figure 1 This is a flowchart of the invention; Figure 2 This is a schematic diagram of the system structure of the present invention; Figure 3 This is a partial analysis reference diagram of the present invention. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments; Example 1: Please refer to Figures 1 to 2 As shown, the present invention is a photovoltaic terminal intelligent management system based on a data interaction module, including photovoltaic terminal equipment, a data interaction module and a cloud management platform. The cloud management platform is equipped with a communication acquisition unit, a communication splitting unit, a dynamic splitting unit, a status acquisition unit and a back-end visualization unit. Among them, the data interaction module is connected to the photovoltaic terminal equipment, and the cloud management platform is connected to the data interaction module. Photovoltaic terminal equipment is used for photovoltaic power generation, including photovoltaic modules, inverters, combiner boxes, etc. Photovoltaic modules convert light energy into electrical energy; inverters convert the direct current output by photovoltaic modules into alternating current; combiner boxes combine the output current of multiple photovoltaic modules and transmit it to the inverter. The data interaction module communicates with the photovoltaic terminal equipment and includes a data acquisition unit, a data processing unit, and a communication unit. The data acquisition unit collects basic status data of the photovoltaic terminal equipment in real time, such as the voltage, current, and temperature of the photovoltaic modules, the conversion efficiency and operating status of the inverter, the combiner current of the combiner box, and the power and charging / discharging status of the energy storage device. The data processing unit preprocesses the collected basic status data, removing noise data, filling in missing data, and converting the format for subsequent transmission and analysis. The communication unit supports multiple communication methods such as Ethernet, Wi-Fi, 4G, 5G and LoRa to transmit data with the cloud management platform.

[0016] Example 2: The communication acquisition unit is used to collect network communication information between the data interaction module and the cloud management platform using various communication methods, and to perform communication stability evaluation and analysis on the network communication information to obtain the dual-channel or preferred channel. The specific communication stability evaluation and analysis process is as follows: The network communication information between the data interaction module and the cloud management platform is obtained, including signal strength, bit error rate, transmission latency, etc. Bit error rate: the ratio of the number of erroneous bits to the total number of transmitted bits in the current communication method; transmission delay: the round-trip time (RTT) from data transmission to receipt of acknowledgment. The network communication information is preprocessed, including cleaning and enhancement. The preprocessed network communication information is then input into a pre-set communication quality scoring model to obtain the communication quality score output by the pre-set communication quality scoring model. The communication cost information of each communication method between the data interaction module and the cloud management platform is obtained. The communication cost information includes communication energy consumption cost, communication tariff cost, etc. At the same time, the preset weight coefficients corresponding to each parameter in the communication cost information are obtained. The sum of the products of each parameter in the communication cost information and the corresponding preset weight coefficients is set as the communication cost score. Obtain the preset weight coefficient a1 for communication quality score and the preset weight coefficient a2 for communication cost score. Set the value obtained by adding the product of communication quality score and preset weight coefficient a1 to the product of communication cost score and preset weight coefficient a2 as the comprehensive communication score. Sort the comprehensive communication scores of each communication method, obtain the difference between the highest score and the second highest score, and determine whether the difference between the highest score and the second highest score is less than a preset threshold. If it is, set the communication method corresponding to the highest score and the second highest score as dual-channel. If not, set the communication method corresponding to the highest score as the preferred channel. In this embodiment of the invention, the network environment can be responded to in real time. While ensuring the reliability of data transmission, the utilization rate of communication resources is optimized and the operating cost is reduced. That is, the communication between the data interaction module and the cloud management platform is rationally managed and selected to ensure stable information transmission between the data interaction module and the cloud management platform. The communication traffic splitting unit is used to perform intelligent traffic splitting management and analysis on the load rate of the current communication method, obtain the splitting channels, and determine whether the splitting channels are available. The specific intelligent traffic splitting management and analysis process is as follows: Set the dual-channel or preferred channel as the current communication mode, obtain the load rate of the current communication mode, and determine whether the load rate of the current communication mode exceeds the preset load rate threshold. If it does, generate a diversion signal; otherwise, generate a normal signal and continue to monitor the load rate in response to the normal signal. When a split signal is generated, the overall communication score of each communication method other than the current communication method is obtained, and the highest score in the overall communication score is set as the split channel; The communication status of the communication components of the split channel is obtained. The communication status includes normal status and abnormal status. The communication status is judged and processed. If the communication status is normal, a feedback signal is generated. If the communication status is abnormal, an unavailable signal is generated. The unavailable signal is responded to to detect the next communication mode until a feedback signal is generated. When a feedback signal is generated, the signal strength and bit error rate of the split channel are obtained, and the signal strength and bit error rate are judged. If the signal strength is greater than the preset signal strength threshold and the bit error rate is less than the preset bit error rate threshold, it is determined to be in an available state. If the signal strength is less than or equal to the preset signal strength threshold, or the bit error rate is greater than or equal to the preset bit error rate threshold, it is determined to be in an unavailable state. If the diversion channel is unavailable, the next communication method will be checked sequentially until a communication method is found to be available. At the same time, an availability signal will be generated. The backend visual unit will respond to the availability signal and immediately execute the preset warning operation corresponding to the availability signal, that is, start the diversion channel to divert the current communication method to reduce the load rate, thereby ensuring the communication efficiency between the data interaction module and the cloud management platform. If all traffic distribution channels are unavailable, activate the local caching mechanism to temporarily store the data. In this embodiment of the invention, intelligent load balancing of communication can be achieved, which not only ensures the real-time transmission of high-priority data, but also makes full use of the bandwidth resources of each communication method, avoids data transmission delay or loss caused by overload of a single channel, and significantly improves the communication stability of intelligent management of photovoltaic terminals.

[0017] Example 3: The dynamic traffic splitting unit is used to perform intelligent traffic splitting and dynamic adjustment analysis on the actual load rate and optimal load rate of the current communication method, and obtain the traffic splitting value Fi for each interactive data. The specific intelligent traffic splitting and dynamic adjustment analysis process is as follows: Obtain the actual load rate and optimal load rate of the current communication method, and subtract the optimal load rate from the actual load rate of the current communication method to obtain the overload data rate; Obtain the current load rate and maximum carrying capacity of the diversion channel, and set the value obtained by multiplying the maximum carrying capacity of the diversion channel by (1 - the current load rate of the diversion channel) as the carrying capacity margin; Obtain the minimum value between the overload data rate and the carrying capacity, and set the minimum value between the overload data rate and the carrying capacity as the amount of data to be diverted; The pre-division result of the transmitted data is obtained. The pre-division result includes high-priority data, medium-priority data and low-priority data. The high-priority data, medium-priority data and low-priority data are collectively referred to as interactive data Ji, i = 1, 2, 3, where i = 1, interactive data J1 represents high-priority data, i = 2, interactive data J2 represents medium-priority data, and i = 3, interactive data J3 represents low-priority data. The pre-set diversion control coefficient corresponding to the interaction data Ji is obtained, and the value obtained by multiplying the diversion data volume by the pre-set diversion control coefficient corresponding to each interaction data Ji is set as the diversion value Fi; The back-end visual unit responds to the diversion value Fi and immediately diverts each interactive data in the transmitted data. This means that while ensuring the quality of critical data transmission, it can accurately control the amount of diverted data, which not only relieves the load pressure on the main channel, but also makes full use of the diversion channel resources to achieve efficient and balanced operation of the overall communication. Based on the current communication method, the status acquisition unit performs status evaluation and analysis on the basic status data of the collected photovoltaic terminal devices to determine whether the current status of each photovoltaic terminal device is normal. The specific status evaluation and analysis process is as follows: Based on the current communication method, the basic status data of the photovoltaic terminal equipment is acquired in real time. Based on the basic status data, multi-item test analysis is performed on the photovoltaic terminal equipment. The multi-item test analysis includes performance testing, health testing, etc., and the output results of the multi-item test analysis are obtained. The output results include qualified and unqualified. The system performs discriminant analysis on the output results of multi-item test analysis of photovoltaic terminal equipment. If the output result is qualified, a real-time stable signal is generated; if the output result is unqualified, a risk signal is generated. The back-end visual unit responds to the real-time stable signal or the risk signal and immediately executes the preset early warning operation corresponding to the real-time stable signal or the risk signal. At the same time, the photovoltaic terminal equipment corresponding to the risk signal is marked in red and the corresponding photovoltaic terminal equipment is alarmed. The photovoltaic terminal equipment corresponding to the real-time stable signal is marked in green so that users can take timely measures to deal with the situation. When a risk signal is generated, the management response information of the photovoltaic terminal equipment is obtained. The management response information includes the automatic repair time and the manual intervention response time. The automatic repair time represents the time for the fault to be resolved by itself, such as restarting the inverter or switching the backup energy storage device. The manual intervention response time is the time from when the back-end visual unit receives the risk signal to when the maintenance personnel arrive at the site. The system obtains the sum of the automatic repair time and the manual intervention response time, sets this sum as the total resolution time, and determines whether the total resolution time exceeds a preset total resolution time threshold. If it does, a response delay signal is generated; otherwise, a timely response signal is generated. The backend visual unit immediately executes the preset warning operation corresponding to the response delay signal or the timely response signal to optimize and adjust the performance of the photovoltaic terminal intelligent management system in fault response, thereby achieving timely fault response. In summary, this invention analyzes communication methods from the perspective of communication quality and cost, comprehensively evaluating both dimensions to arrive at a dual-channel or preferred channel. This allows for real-time response to changes in the network environment, ensuring data transmission reliability while optimizing communication resource utilization and reducing operating costs. It also ensures stable information transmission between the data interaction module and the cloud management platform. Furthermore, by implementing traffic distribution management for communication methods, intelligent load balancing is achieved. This ensures real-time transmission of high-priority data while fully utilizing the bandwidth resources of each communication method, avoiding data transmission delays or losses caused by single-channel overload. This significantly improves the communication stability of intelligent photovoltaic terminal management. Simultaneously, the invention includes a dynamic adjustment process for the amount of traffic distributed, precisely controlling the amount of traffic distributed while ensuring the quality of critical data transmission. This alleviates the load pressure on the main channel while fully utilizing the resources of the distribution channels, achieving efficient and balanced overall communication operation. Under the premise of stable data interaction, the invention also provides in-depth status management of photovoltaic terminal devices, determining whether each device is functioning normally, allowing users to take timely measures to address abnormal devices. Finally, the invention incorporates a fault response performance evaluation process for intelligent photovoltaic terminal management to ensure timely fault response.

[0018] The threshold is set for comparative analysis of results to determine whether they are good or bad. The value of the threshold is determined by a combination of large-scale model analysis of sample data and human experience. It can also be adjusted appropriately based on seasonal or common-sense influencing factors.

[0019] The size of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding operating coefficient initially set by those skilled in the art for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0020] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A photovoltaic terminal intelligent management system based on a data interaction module, characterized in that, This includes photovoltaic terminal equipment, data interaction modules, and cloud management platforms; The cloud management platform includes a communication acquisition unit, a communication routing unit, a dynamic routing unit, a status acquisition unit, and a backend visualization unit. The communication acquisition unit is used to collect network communication information between the data interaction module and the cloud management platform through various communication methods, and to conduct communication stability evaluation and analysis on the network communication information to obtain the dual-channel or preferred channel. The communication splitting unit is used to perform intelligent splitting management and analysis on the load rate of the current communication method, obtain the splitting channel, and determine whether the splitting channel is available, and obtain the available signal or the unavailable signal. The dynamic splitting unit is used to perform intelligent splitting data volume dynamic adjustment and analysis on the actual load rate and optimal load rate of the current communication method, and calculate the splitting value Fi of each interactive data. Based on the current communication method, the status acquisition unit performs status evaluation and analysis on the basic status data of the collected photovoltaic terminal equipment to determine whether the current status of each photovoltaic terminal equipment is normal, and obtains the response delay signal or the response time signal. The analysis process of the communication acquisition unit is as follows: The network communication information between the data interaction module and the cloud management platform is obtained, including signal strength, bit error rate, and transmission latency. The network communication information is preprocessed, and the preprocessed network communication information is input into a pre-set communication quality scoring model to obtain the communication quality score output by the pre-set communication quality scoring model. The communication cost information of each communication method between the data interaction module and the cloud management platform is obtained. The communication cost information includes communication energy consumption cost and communication tariff cost. At the same time, the preset weight coefficients corresponding to each parameter in the communication cost information are obtained. The sum of the products of each parameter in the communication cost information and the corresponding preset weight coefficients is set as the communication cost score. Obtain the preset weight coefficient a1 for communication quality score and the preset weight coefficient a2 for communication cost score. Set the value obtained by adding the product of communication quality score and preset weight coefficient a1 to the product of communication cost score and preset weight coefficient a2 as the comprehensive communication score. Obtain the difference between the highest score and the second highest score, and determine whether the difference between the highest score and the second highest score is less than a preset threshold. If it is, set the communication mode corresponding to the highest score and the second highest score as dual-channel. If not, set the communication mode corresponding to the highest score as the preferred channel. The analysis process of the communication splitting unit is as follows: Set the dual-channel or preferred channel as the current communication mode, obtain the load rate of the current communication mode, and determine whether the load rate of the current communication mode exceeds the preset load rate threshold. If it does, generate a split signal; otherwise, generate a normal signal. When a split signal is generated, the overall communication score of each communication method other than the current communication method is obtained, and the highest score in the overall communication score is set as the split channel; The analysis process of the dynamic splitting unit is as follows: Obtain the actual load rate and optimal load rate of the current communication method, and subtract the optimal load rate from the actual load rate of the current communication method to obtain the overload data rate; Obtain the current load rate and maximum carrying capacity of the diversion channel, and set the value obtained by multiplying the maximum carrying capacity of the diversion channel by (1 - the current load rate of the diversion channel) as the carrying capacity margin; Obtain the minimum value between the overload data rate and the carrying capacity, and set the minimum value between the overload data rate and the carrying capacity as the amount of data to be diverted; The pre-partitioning results of the transmitted data are obtained. These pre-partitioning results include high-priority data, medium-priority data, and low-priority data. These high-priority, medium-priority, and low-priority data are collectively referred to as interactive data Ji, where i = 1, 2, 3. The pre-set diversion control coefficient corresponding to the interaction data Ji is obtained, and the value obtained by multiplying the diversion data volume by the pre-set diversion control coefficient corresponding to each interaction data Ji is set as the diversion value Fi; The analysis process of the state acquisition unit is as follows: Based on the current communication method, the basic status data of the photovoltaic terminal equipment is obtained in real time. Based on the basic status data, multi-item test analysis is performed on the photovoltaic terminal equipment. The multi-item test analysis includes performance test and health test. The output results of the multi-item test analysis are obtained, and the output results include qualified and unqualified. Furthermore, the output results of multi-item test analysis of photovoltaic terminal equipment are subjected to discriminant analysis to obtain real-time stable signals or risk signals; When a risk signal is generated, the management response information of the photovoltaic terminal equipment is obtained. The management response information includes the automatic repair time and the manual intervention response time. The system obtains the sum of the automatic repair time and the manual intervention response time, sets the sum of the automatic repair time and the manual intervention response time as the total resolution time, and judges whether the total resolution time exceeds the preset total resolution time threshold. If it does, a response delay signal is generated; otherwise, a timely response signal is generated.

2. The photovoltaic terminal intelligent management system based on a data interaction module according to claim 1, characterized in that, The data interaction module is communicatively connected to the photovoltaic terminal equipment, and the cloud management platform is communicatively connected to the data interaction module; the photovoltaic terminal equipment includes photovoltaic modules, inverters, and combiner boxes; The data interaction module includes a data acquisition unit, a data processing unit, and a communication unit.

3. The photovoltaic terminal intelligent management system based on a data interaction module according to claim 2, characterized in that, The communication status of the communication components of the split channel is obtained. The communication status includes normal status and abnormal status. The communication status is judged and processed. If the communication status is normal, a feedback signal is generated. If the communication status is abnormal, an unavailable signal is generated. The unavailable signal is responded to to detect the next communication mode until a feedback signal is generated. When a feedback signal is generated, the signal strength and bit error rate of the split channel are obtained, and the signal strength and bit error rate are processed to determine whether the channel is available or unavailable. If the split channel is unavailable, the communication method of the next bit is checked in turn until a communication method is found to be available, and an availability signal is generated at the same time. If all traffic distribution channels are unavailable, then the local caching mechanism will be activated.

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