CN115134333B - Rapid networking method and system based on photovoltaic power generation and cloud platform - Google Patents

Rapid networking method and system based on photovoltaic power generation and cloud platform Download PDF

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Publication number
CN115134333B
CN115134333B CN202211063177.7A CN202211063177A CN115134333B CN 115134333 B CN115134333 B CN 115134333B CN 202211063177 A CN202211063177 A CN 202211063177A CN 115134333 B CN115134333 B CN 115134333B
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data transmission
transmission node
target data
node device
target
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CN115134333A (en
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邓维爱
于江涛
凌晓春
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Guangdong Bangsheng New Energy Technology Development Co ltd
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Guangdong Bangsheng New Energy Technology Development Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The invention provides a rapid networking method and system based on photovoltaic power generation and a cloud platform, and relates to the technical field of photovoltaic power generation. In the invention, at least one target data transmission node device is determined in a plurality of data transmission node devices; for each target data transmission node device in at least one target data transmission node device, determining a target data transmission time length corresponding to the target data transmission node device, wherein the target data transmission time length is used for representing the time length for transmitting corresponding photovoltaic power generation data; and determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on the target data transmission duration corresponding to each target data transmission node device in at least one target data transmission node device. Based on the method, the problem of poor address control effect in the prior networking technology can be solved.

Description

Rapid networking method and system based on photovoltaic power generation and cloud platform
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a rapid networking method and system based on photovoltaic power generation and a cloud platform.
Background
With the continuous development of the photovoltaic power generation technology, the application field of the photovoltaic power generation technology is also continuously expanded, and meanwhile, the photovoltaic power generation data also needs to be effectively monitored, so that subsequent application analysis and the like are facilitated. For example, in the prior art, during the collection process of photovoltaic power generation data, all the collected photovoltaic power generation data may be sent to the cloud platform for storage. When the photovoltaic power generation data is sent, the corresponding transmission node generally transmits the photovoltaic power generation data based on a pre-configured fixed IP address, so that the problem of poor address control effect on the IP address exists.
Disclosure of Invention
In view of this, the present invention provides a method, a system, and a cloud platform for fast networking based on photovoltaic power generation, so as to solve the problem of poor address management and control effect in the existing networking technology.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a quick networking method based on photovoltaic power generation is applied to a cloud platform, the cloud platform is in communication connection with a plurality of data transmission node devices, and the quick networking method comprises the following steps:
determining at least one target data transmission node device from the plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission duration corresponding to the target data transmission node device, wherein the target data transmission duration is used for representing the duration of transmitting corresponding photovoltaic power generation data;
and determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on the target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, wherein each target data transmission node device is used for sending the photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool comprises a plurality of IP addresses.
In some preferred embodiments, in the above method for fast networking based on photovoltaic power generation, the step of determining at least one target data transmission node device among the plurality of data transmission node devices includes:
acquiring the time for determining at least one historical target data transmission node device last time in history to obtain corresponding historical time information, calculating a difference value between the historical time information and current time information to obtain a corresponding time difference value, and calculating a relative size relation between the time difference value and a preset time difference value threshold;
and if the time difference is greater than or equal to the time difference threshold, determining at least one target data transmission node device from the plurality of data transmission node devices.
In some preferred embodiments, in the above method for fast networking based on photovoltaic power generation, if the time difference is greater than or equal to the time difference threshold, the step of determining at least one target data transmission node device in the plurality of data transmission node devices includes:
if the time difference is greater than or equal to the time difference threshold, determining each data transmission node device, which does not belong to the historical target data transmission node device determined last time in history, of the plurality of data transmission node devices as a first data transmission node device to obtain a plurality of first data transmission node devices;
for each first data transmission node device in the plurality of first data transmission node devices, acquiring historical data transmission time information of the last historical transmission of historical photovoltaic power generation data to the cloud platform by the first data transmission node device based on the allocated historical target IP address;
and determining at least one first data transmission node device as a target data transmission node device in the plurality of first data transmission node devices based on the historical data transmission time information corresponding to each first data transmission node device in the plurality of first data transmission node devices, so as to obtain the at least one target data transmission node device.
In some preferred embodiments, in the method for fast networking based on photovoltaic power generation, the step of determining, based on historical data transmission time information corresponding to each of the plurality of first data transmission node devices, at least one first data transmission node device as a target data transmission node device among the plurality of first data transmission node devices to obtain the at least one target data transmission node device includes:
for each first data transmission node device in the plurality of first data transmission node devices, determining a first coefficient corresponding to the first data transmission node device based on historical data transmission start time information in the historical data transmission time information corresponding to the first data transmission node device, and determining a second coefficient corresponding to the first data transmission node device based on historical data transmission end time information in the historical data transmission time information corresponding to the first data transmission node device, wherein the first coefficient and the historical data transmission start time information have a negative correlation, and the second coefficient and the historical data transmission end time information have a negative correlation;
and for each of the plurality of first data transmission node devices, performing weighted summation calculation on a first coefficient corresponding to the first data transmission node device and a second coefficient corresponding to the first data transmission node device to obtain a weighted fusion coefficient corresponding to the first data transmission node device, and determining, as the target data transmission node device, a corresponding number of first data transmission node devices having the largest corresponding weighted fusion coefficient from among the plurality of first data transmission node devices based on a pre-configured number of target devices.
In some preferred embodiments, in the above method for fast networking based on photovoltaic power generation, the step of determining, for each target data transmission node device in the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device includes:
for each target data transmission node device in the at least one target data transmission node device, determining historical data transmission duration of each historical transmission of historical photovoltaic power generation data by the target data transmission node device in history to obtain multiple corresponding historical data transmission durations;
and for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission time length corresponding to the target data transmission node device based on a plurality of historical data transmission time lengths corresponding to the target data transmission node device.
In some preferred embodiments, in the method for fast networking based on photovoltaic power generation, for each target data transmission node device in the at least one target data transmission node device, the step of determining a target data transmission duration corresponding to the target data transmission node device based on a plurality of historical data transmission durations corresponding to the target data transmission node device includes:
for each target data transmission node device in the at least one target data transmission node device, acquiring a time interval between historical data transmission start time information and current time information of historical photovoltaic power generation data which is transmitted by the target data transmission node device last time in history;
for each target data transmission node device in the at least one target data transmission node device, respectively acquiring a historical time interval corresponding to each historical data transmission time length in a plurality of historical data transmission time lengths corresponding to the target data transmission node device, wherein the historical time interval is used for representing a time interval between historical current time information corresponding to historical photovoltaic power generation data corresponding to the corresponding historical data transmission time length and historical data transmission start time information corresponding to historical photovoltaic power generation data transmitted last time of the historical photovoltaic power generation data;
for each target data transmission node device in the at least one target data transmission node device, respectively calculating interval similarity between a history time interval corresponding to each of a plurality of history data transmission durations corresponding to the target data transmission node device and a time interval corresponding to the target data transmission node device, so as to obtain interval similarity corresponding to each history data transmission duration corresponding to the target data transmission node device;
for each target data transmission node device in the at least one target data transmission node device, determining a weighting coefficient corresponding to each historical data transmission time length based on the interval similarity corresponding to each historical data transmission time length corresponding to the target data transmission node device, and performing weighted summation calculation on each historical data transmission time length based on the weighting coefficient corresponding to each historical data transmission time length to obtain the target data transmission time length corresponding to the target data transmission node device, wherein the sum value of the weighting coefficients corresponding to each historical data transmission time length corresponding to any one target data transmission node device in the at least one target data transmission node device is 1.
In some preferred embodiments, in the above method for fast networking based on photovoltaic power generation, the step of determining, based on a target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, a target IP address corresponding to each target data transmission node device in a preconfigured IP address pool includes:
in a pre-configured IP address pool, counting the number of current idle IP addresses to obtain a corresponding idle address counting number, counting the number of at least one target data transmission node device to obtain a corresponding target device counting number, and determining a relative size relation between the target device counting number and the idle address counting number;
if the statistical number of the target equipment is less than or equal to the statistical number of the idle addresses, selecting the IP addresses with the number equal to the statistical number of the target equipment from the current idle IP addresses as at least one target IP address corresponding to the at least one target data transmission node equipment;
if the statistical number of the target devices is larger than the statistical number of the idle addresses, each IP address which is idle at present is used as a target IP address corresponding to the at least one target data transmission node device, the difference between the statistical number of the target devices and the statistical number of the idle addresses is calculated to obtain the corresponding difference number, and each IP address which is not idle at present and is included in the IP address pool is determined as a first IP address to obtain a plurality of first IP addresses;
determining the first IP addresses with the quantity being the difference quantity in the plurality of first IP addresses as the target IP addresses of the at least one target data transmission node device;
and performing one-to-one pairing processing on the determined target IP address and the at least one target data transmission node device based on the target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, so that each target data transmission node device is used for sending the photovoltaic power generation data to be transmitted based on the paired target IP address.
In some preferred embodiments, in the above method for fast networking based on photovoltaic power generation, the step of determining, as the target IP address of the at least one target data transfer node device, a first IP address whose number is the difference number from the plurality of first IP addresses includes:
for each first IP address in the plurality of first IP addresses, determining the historical target data transmission node equipment currently bound by the first IP address as the first historical target data transmission node equipment corresponding to the first IP address;
aiming at a plurality of first historical target data transmission node devices corresponding to a plurality of first IP addresses, determining a photovoltaic power generation module corresponding to the first historical target data transmission node device, and determining module position information corresponding to the photovoltaic power generation module, wherein each photovoltaic power generation module comprises a plurality of photovoltaic power generation units, each photovoltaic power generation unit comprises a plurality of photovoltaic power generation groups, each photovoltaic power generation group corresponds to one piece of photovoltaic power generation subdata, and a plurality of pieces of photovoltaic power generation subdata corresponding to the plurality of photovoltaic power generation groups included in one photovoltaic power generation unit form one piece of photovoltaic power generation data;
for a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, respectively calculating the position correlation between the module position information corresponding to the first historical target data transmission node devices and the module position information corresponding to each target data transmission node device, and determining a position correlation fusion value corresponding to the first historical target data transmission node devices based on the position correlation between the module position information corresponding to the first historical target data transmission node devices and the module position information corresponding to each target data transmission node device;
performing matrix construction processing on the plurality of first historical target data transmission node devices based on module position information corresponding to the plurality of first historical target data transmission node devices to obtain device distribution matrices corresponding to the plurality of first historical target data transmission node devices;
dividing the device distribution matrix based on the difference number to obtain a plurality of device distribution sub-matrices of corresponding number, constructing and forming corresponding matrix sets based on the plurality of device distribution sub-matrices, performing the step of dividing the device distribution matrix based on the difference number for a plurality of times to obtain a plurality of device distribution sub-matrices corresponding to the device distribution matrix, constructing and forming corresponding matrix sets based on the plurality of device distribution sub-matrices to obtain a plurality of matrix sets, and calculating a discrete degree value of matrix size among the plurality of device distribution sub-matrices included in the matrix set for each matrix set, wherein the matrix size is used for representing the number of matrix elements included in the corresponding device distribution sub-matrices;
determining a discrete degree value with a minimum value as a target discrete degree value in a plurality of discrete degree values corresponding to the matrix sets, determining the matrix set corresponding to the target discrete degree value as a target matrix set, determining a first historical target data transmission node device with a corresponding position correlation degree fusion value having a maximum value in the device distribution submatrix aiming at each device distribution submatrix in the target matrix set, and determining a first IP address currently bound by the first historical target data transmission node device as a target IP address.
The embodiment of the invention also provides a rapid networking system based on photovoltaic power generation, which is applied to a cloud platform, wherein the cloud platform is in communication connection with a plurality of data transmission node devices, and the rapid networking system comprises:
the target device determining module is used for determining at least one target data transmission node device from the plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
a transmission duration determining module, configured to determine, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device, where the target data transmission duration is used to characterize a duration for transmitting corresponding photovoltaic power generation data;
the device comprises an IP address determining module and a data transmission module, wherein the IP address determining module is used for determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on a target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, each target data transmission node device is used for sending photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool comprises a plurality of IP addresses.
An embodiment of the present invention further provides a cloud platform, which includes a memory and a processor, where the processor is configured to execute a computer program in the memory, so as to implement the following steps:
determining at least one target data transmission node device in a plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission duration corresponding to the target data transmission node device, wherein the target data transmission duration is used for representing the duration of transmitting corresponding photovoltaic power generation data;
determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on a target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, wherein each target data transmission node device is used for sending photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool comprises a plurality of IP addresses.
According to the rapid networking method, the rapid networking system and the cloud platform based on photovoltaic power generation, provided by the embodiment of the invention, at least one target data transmission node device can be determined in a plurality of data transmission node devices, and then the target data transmission time length corresponding to the target data transmission node device is determined for each target data transmission node device in the at least one target data transmission node device, so that the target IP address corresponding to each target data transmission node device can be determined in a pre-configured IP address pool based on the target data transmission time length corresponding to each target data transmission node device in the at least one target data transmission node device. Based on this, the dynamic allocation of the IP address can be carried out in combination with the transmission duration of the target data of the photovoltaic power generation data to be transmitted, the reasonable utilization of the IP address is guaranteed, and therefore the problem that the address control effect is poor in the existing networking technology is solved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a structural block diagram of a cloud platform according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of steps included in a photovoltaic power generation-based rapid networking method according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of modules included in a photovoltaic power generation-based rapid networking system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a cloud platform. Wherein the cloud platform may include a memory and a processor.
In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have stored therein at least one software function (computer program) which can be present in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the method for fast networking based on photovoltaic power generation provided by the embodiment of the present invention (described later).
It should be further noted that in some possible embodiments, the Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
Also, the structure shown in fig. 1 is only an illustration, and the cloud platform may further include more or less components than those shown in fig. 1, or have a different configuration from that shown in fig. 1, for example, may include a communication unit for information interaction with other devices.
It is further noted that, in some possible embodiments, the cloud platform may be a server with data processing capability.
With reference to fig. 2, an embodiment of the present invention further provides a fast networking method based on photovoltaic power generation, which is applicable to the cloud platform. The method steps defined by the flow related to the photovoltaic power generation-based rapid networking method can be realized by the cloud platform. And the cloud platform is in communication connection with a plurality of data transmission node devices. The specific process shown in FIG. 2 will be described in detail below.
Step 110, determining at least one target data transmission node device among the plurality of data transmission node devices.
In this embodiment of the present invention, the cloud platform may determine at least one target data transmission node device among the plurality of data transmission node devices. Each target data transmission node device is provided with photovoltaic power generation data to be transmitted.
Step 120, determining, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device.
In this embodiment of the present invention, the cloud platform may determine, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device. And the target data transmission time length is used for representing the time length for transmitting the corresponding photovoltaic power generation data.
Step 130, determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on the target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device.
In this embodiment of the present invention, the cloud platform may determine, based on a target data transmission duration corresponding to each target data transmission node device of the at least one target data transmission node device, a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool (and then may be allocated to the corresponding target data transmission node device). Each target data transmission node device is used for sending photovoltaic power generation data to be transmitted to the cloud platform based on a corresponding target IP address, and the IP address pool comprises a plurality of IP addresses.
Based on the steps included in the above-mentioned method for fast networking based on photovoltaic power generation, at least one target data transmission node device may be determined in a plurality of data transmission node devices, and then, for each target data transmission node device in the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device is determined, so that a target IP address corresponding to each target data transmission node device may be determined in a pre-configured IP address pool based on the target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device. Based on the method, the IP address can be dynamically allocated according to the target data transmission duration of the photovoltaic power generation data to be transmitted, the IP address can be reasonably utilized, and therefore the problem that the address control effect is poor in the existing networking technology is solved.
It should be further noted that, in some possible embodiments, the step 110 described in the foregoing may further include the following:
firstly, obtaining the time for determining at least one historical target data transmission node device last time in history to obtain corresponding historical time information, calculating the difference between the historical time information and the current time information to obtain a corresponding time difference value, and calculating the relative size relation between the time difference value and a time difference value threshold value configured firstly secondly;
and if the time difference is greater than or equal to the time difference threshold, determining at least one target data transmission node device in the plurality of data transmission node devices.
It should be further noted that, in some possible embodiments, the step of determining at least one target data transmission node device among the plurality of data transmission node devices if the time difference is greater than or equal to the time difference threshold may further include the following steps:
firstly, if the time difference is greater than or equal to the time difference threshold, determining each data transmission node device, which does not belong to the historical target data transmission node device determined last time in history, of the plurality of data transmission node devices as a first data transmission node device to obtain a plurality of first data transmission node devices;
secondly, acquiring historical data transmission time information of the last historical data transmission node device (namely the previous historical data transmission node device) transmitting historical photovoltaic power generation data to the cloud platform based on the allocated historical target IP address for each first data transmission node device in the plurality of first data transmission node devices;
then, based on the historical data transmission time information corresponding to each of the plurality of first data transmission node devices, at least one first data transmission node device is determined as a target data transmission node device in the plurality of first data transmission node devices, so as to obtain at least one target data transmission node device.
It should be further noted that, in some possible embodiments, the step of determining, in the plurality of first data transmission node devices, at least one first data transmission node device as a target data transmission node device based on historical data transmission time information corresponding to each of the plurality of first data transmission node devices, so as to obtain the at least one target data transmission node device, may further include the following steps:
firstly, for each of the plurality of first data transmission node devices, determining a first coefficient corresponding to the first data transmission node device based on historical data transmission start time information in the historical data transmission time information corresponding to the first data transmission node device, and determining a second coefficient corresponding to the first data transmission node device based on historical data transmission end time information in the historical data transmission time information corresponding to the first data transmission node device, wherein the first coefficient has a negative correlation with the historical data transmission start time information, and the second coefficient has a negative correlation with the historical data transmission end time information;
secondly, for each of the plurality of first data transmission node devices, performing weighted summation calculation on a first coefficient corresponding to the first data transmission node device and a second coefficient corresponding to the first data transmission node device (a specific weighting coefficient may be configured according to an actual application requirement, which is not specifically limited herein), to obtain a weighted fusion coefficient corresponding to the first data transmission node device, and determining, as a target data transmission node device, a corresponding number of first data transmission node devices with a maximum corresponding weighted fusion coefficient from among the plurality of first data transmission node devices based on a preconfigured number of target devices.
It should be further noted that, in some possible embodiments, the step 120 described in the foregoing may further include the following:
firstly, for each target data transmission node device in the at least one target data transmission node device, determining a historical data transmission time length of the target data transmission node device for transmitting historical photovoltaic power generation data each time in history, and obtaining a plurality of corresponding historical data transmission time lengths;
secondly, for each target data transmission node device of the at least one target data transmission node device, determining a target data transmission duration corresponding to the target data transmission node device based on a plurality of historical data transmission durations corresponding to the target data transmission node device.
It should be further noted that, in some possible embodiments, the step of, for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission duration corresponding to the target data transmission node device based on multiple pieces of historical data transmission durations corresponding to the target data transmission node device may further include the following steps:
firstly, acquiring a time interval between historical data transmission start time information and current time information of historical photovoltaic power generation data transmitted by each target data transmission node device in the at least one target data transmission node device at the latest historical time (namely, the previous time);
secondly, respectively acquiring a historical time interval corresponding to each historical data transmission time length of a plurality of historical data transmission time lengths corresponding to the target data transmission node equipment aiming at each target data transmission node equipment in the at least one target data transmission node equipment, wherein the historical time interval is used for representing a time interval between historical current time information corresponding to the historical photovoltaic power generation data corresponding to the corresponding historical data transmission time length and historical data transmission starting time information corresponding to the historical photovoltaic power generation data transmitted last time;
then, for each target data transmission node device of the at least one target data transmission node device, respectively calculating interval similarity between a history time interval corresponding to each of multiple pieces of history data transmission time length corresponding to the target data transmission node device and a time interval corresponding to the target data transmission node device (for example, calculating a difference between two time intervals, and then determining a negatively-correlated interval similarity based on the difference), so as to obtain interval similarity corresponding to each piece of history data transmission time length corresponding to the target data transmission node device;
and finally, for each target data transmission node device in the at least one target data transmission node device, determining a weighting coefficient corresponding to each historical data transmission time length based on the interval similarity corresponding to each historical data transmission time length corresponding to the target data transmission node device, and performing weighted summation calculation on each historical data transmission time length based on the weighting coefficient corresponding to each historical data transmission time length to obtain the target data transmission time length corresponding to the target data transmission node device, wherein the sum value of the weighting coefficients corresponding to each historical data transmission time length corresponding to any one target data transmission node device in the at least one target data transmission node device is 1.
It should be further noted that, in some possible embodiments, the step 130 described in the foregoing may further include the following:
firstly, in a pre-configured IP address pool, counting the number of current idle IP addresses to obtain a corresponding idle address counting number, counting the number of at least one target data transmission node device to obtain a corresponding target device counting number, and determining the relative size relationship between the target device counting number and the idle address counting number;
secondly, if the statistical number of the target devices is smaller than or equal to the statistical number of the idle addresses, selecting the IP addresses with the number equal to the statistical number of the target devices from the current idle IP addresses as at least one target IP address corresponding to the at least one target data transmission node device;
then, if the statistical number of the target devices is greater than the statistical number of the idle addresses, taking each currently idle IP address as a target IP address corresponding to the at least one target data transmission node device, calculating a difference between the statistical number of the target devices and the statistical number of the idle addresses to obtain a corresponding difference number, and determining each currently non-idle IP address included in the IP address pool as a first IP address to obtain a plurality of first IP addresses;
further, determining the number of the first IP addresses, which is the difference number, among the plurality of first IP addresses, as a target IP address of the at least one target data transmission node device;
finally, based on the target data transmission duration corresponding to each of the at least one target data transmission node device, performing one-to-one pairing processing on the determined target IP address and the at least one target data transmission node device, so that each target data transmission node device is used for sending the photovoltaic power generation data to be transmitted based on the paired target IP address (for example, for each determined target IP address, an average value of historical target data transmission durations corresponding to each historical target data transmission node device historically paired by the target IP address is determined, a corresponding transmission duration average value is obtained, and then, based on the transmission duration average value corresponding to each target IP address and the target data transmission duration corresponding to each target data transmission node device, one-to-one pairing is performed, for example, a target IP address with a larger transmission duration average value is paired with a target data transmission node device with a smaller target data transmission duration, a target IP address with a smaller transmission duration average value is paired with a target data transmission node device with a larger target data transmission duration, so that the transmission average value of each IP address is similar or close to the distribution of the number of dynamic balance guarantee is achieved.
It should be further noted that, in some possible embodiments, the step of determining, as the target IP address of the at least one target data transmission node device, a first IP address whose number is the difference number from the plurality of first IP addresses further includes the following steps:
firstly, aiming at each first IP address in the plurality of first IP addresses, determining the historical target data transmission node equipment currently bound by the first IP address as the first historical target data transmission node equipment corresponding to the first IP address;
secondly, for a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, determining a photovoltaic power generation module corresponding to the first historical target data transmission node device, and determining module position information corresponding to the photovoltaic power generation module, where each photovoltaic power generation module includes a plurality of photovoltaic power generation units, each photovoltaic power generation unit includes a plurality of photovoltaic power generation groups, each photovoltaic power generation group corresponds to one photovoltaic power generation subdata, and a plurality of photovoltaic power generation subdata corresponding to a plurality of photovoltaic power generation groups included in one photovoltaic power generation unit constitute one photovoltaic power generation data (photovoltaic power generation data corresponding to a plurality of photovoltaic power generation units corresponding to one photovoltaic power generation module can be transmitted by a corresponding data transmission node device);
then, for a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, respectively calculating a position correlation between the module position information corresponding to the first historical target data transmission node device and the module position information corresponding to each target data transmission node device (a distance between model positions has a negative correlation with the position correlation), and determining a position correlation fusion value corresponding to the first historical target data transmission node device based on the position correlation (such as a calculated average value) between the module position information corresponding to the first historical target data transmission node device and the module position information corresponding to each target data transmission node device;
then, based on the module position information corresponding to the plurality of first historical target data transmission node devices, performing matrix construction processing on the plurality of first historical target data transmission node devices (for example, based on the corresponding module position information, a plurality of corresponding coordinate points are determined on a map, then a minimum rectangular frame surrounding the plurality of coordinate points is determined, then the minimum rectangular frame is compressed, until no interval exists between at least one row of coordinate points in the width direction and at least one row of coordinate points in the length direction, the minimum rectangular frame is stopped being compressed), and a device distribution matrix corresponding to the plurality of first historical target data transmission node devices is obtained;
further, the device distribution matrix is segmented based on the difference number to obtain a plurality of device distribution sub-matrices with corresponding numbers, a corresponding matrix set is constructed based on the plurality of device distribution sub-matrices, the device distribution matrix is segmented based on the difference number for multiple times to obtain a plurality of device distribution sub-matrices corresponding to the device distribution matrix, a corresponding matrix set is constructed based on the plurality of device distribution sub-matrices to obtain a plurality of matrix sets, and then a discrete degree value of matrix size among the plurality of device distribution sub-matrices included in each matrix set is calculated, wherein the matrix size is used for representing the number of matrix elements included in the corresponding device distribution sub-matrix;
and finally, determining a discrete degree value with a minimum value as a target discrete degree value in a plurality of discrete degree values corresponding to the matrix sets, determining the matrix set corresponding to the target discrete degree value as a target matrix set, determining a first historical target data transmission node device with a corresponding position relevance fusion value having a maximum value in the device distribution submatrix aiming at each device distribution submatrix in the target matrix set, and determining a first IP address currently bound by the first historical target data transmission node device as a target IP address.
It should be further noted that, in some possible embodiments, the step of determining, as the target IP address of the at least one target data transfer node device, a number of first IP addresses that is the difference number, from among the plurality of first IP addresses, further includes:
firstly, aiming at each first IP address in the plurality of first IP addresses, determining the historical target data transmission node equipment currently bound by the first IP address as the first historical target data transmission node equipment corresponding to the first IP address;
secondly, aiming at a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, determining a photovoltaic power generation module corresponding to the first historical target data transmission node device, and determining module position information corresponding to the photovoltaic power generation module, wherein each photovoltaic power generation module comprises a plurality of photovoltaic power generation units, each photovoltaic power generation unit comprises a plurality of photovoltaic power generation groups, each photovoltaic power generation group corresponds to one piece of photovoltaic power generation subdata, and a plurality of pieces of photovoltaic power generation subdata corresponding to the plurality of photovoltaic power generation groups included in one photovoltaic power generation unit form one piece of photovoltaic power generation data;
then, for a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, respectively calculating a position correlation between the module position information corresponding to the first historical target data transmission node device and the module position information corresponding to each target data transmission node device, and determining a position correlation fusion value corresponding to the first historical target data transmission node device based on the position correlation (such as a calculated average) between the module position information corresponding to the first historical target data transmission node device and the module position information corresponding to each target data transmission node device;
then, based on the module position information corresponding to the plurality of first historical target data transmission node devices, performing matrix construction processing on the plurality of first historical target data transmission node devices to obtain device distribution matrices corresponding to the plurality of first historical target data transmission node devices;
further, the device distribution matrix is divided based on the difference number to obtain a plurality of device distribution sub-matrices corresponding to the device distribution matrix, a corresponding matrix set is constructed based on the plurality of device distribution sub-matrices, and after the division processing is performed on the device distribution matrix based on the difference number for a plurality of times to obtain a plurality of device distribution sub-matrices corresponding to the device distribution matrix, and a corresponding matrix set is constructed based on the plurality of device distribution sub-matrices to obtain a plurality of matrix sets, for each matrix set, a discrete degree value related to a matrix size among the plurality of device distribution sub-matrices included in the matrix set is calculated, wherein the matrix size is used for representing the number of matrix elements included in the corresponding device distribution sub-matrix, and the matrix size corresponding to each device distribution sub-matrix is greater than or equal to the difference number;
and finally, determining a discrete degree value with the minimum value as a target discrete degree value in a plurality of discrete degree values corresponding to the matrix sets, determining the matrix set corresponding to the target discrete degree value as a target matrix set, calculating the average value of the position correlation fusion value corresponding to each first historical target data transmission node device in the device distribution submatrix aiming at each device distribution submatrix in the target matrix set to obtain the position correlation average value corresponding to the device distribution submatrix, and determining the first IP address currently bound by the first historical target data transmission node device included in the device distribution submatrix corresponding to the position correlation average value with the maximum value as the target IP address.
It should be further noted that, in some possible embodiments, the step of determining, as the target IP address of the at least one target data transfer node device, a number of first IP addresses that is the difference number, from among the plurality of first IP addresses, further includes:
firstly, aiming at each first IP address in the plurality of first IP addresses, determining the historical target data transmission node equipment currently bound by the first IP address as the first historical target data transmission node equipment corresponding to the first IP address;
secondly, aiming at a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, determining a photovoltaic power generation module corresponding to the first historical target data transmission node device, and determining module position information corresponding to the photovoltaic power generation module, wherein each photovoltaic power generation module comprises a plurality of photovoltaic power generation units, each photovoltaic power generation unit comprises a plurality of photovoltaic power generation groups, each photovoltaic power generation group corresponds to one piece of photovoltaic power generation subdata, and a plurality of pieces of photovoltaic power generation subdata corresponding to the plurality of photovoltaic power generation groups included in one photovoltaic power generation unit form one piece of photovoltaic power generation data;
then, for a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, respectively calculating a position correlation between the module position information corresponding to the first historical target data transmission node device and the module position information corresponding to each target data transmission node device, and determining a position correlation fusion value corresponding to the first historical target data transmission node device based on the position correlation between the module position information corresponding to the first historical target data transmission node device and the module position information corresponding to each target data transmission node device;
then, based on the magnitude relation among the corresponding position correlation degree fusion values, sequencing the plurality of first historical target data transmission node devices to obtain corresponding first device sequences, and based on the difference quantity, performing sliding window processing on the first device sequences to obtain a plurality of first device subsequences corresponding to the first device sequences, wherein the quantity of the first historical target data transmission node devices included in each first device subsequence is the difference quantity;
further, for each first device subsequence in the plurality of first device subsequences, respectively determining data transmission time length of photovoltaic power generation data currently transmitted by each first historical target data transmission node device in the first device subsequence, sequencing the data transmission time length corresponding to each first historical target data transmission node device in the first device subsequence based on a precedence relationship in the first device subsequence to obtain a transmission time length sequence corresponding to the first device subsequence, and determining a first coefficient sequence based on the transmission time length sequence, wherein a positive correlation relationship exists between a numerical value of each sequence position in the first coefficient sequence and the data transmission time length of a corresponding sequence position in the transmission time length sequence;
further, for each target data transmission node device, respectively calculating a position correlation between module position information corresponding to the target data transmission node device and module position information corresponding to each first historical target data transmission node device, and determining a position correlation fusion value corresponding to the target data transmission node device based on the position correlation between the module position information corresponding to the target data transmission node device and the module position information corresponding to each first historical target data transmission node device;
further, based on the magnitude relation between the corresponding position correlation degree fusion values, sequencing the target data transmission node devices to obtain a corresponding second device sequence, sequencing the target data transmission duration corresponding to each target transmission node device in the second device sequence based on the precedence relation in the second device sequence to obtain a target transmission duration sequence corresponding to the second device sequence, and determining a second coefficient sequence based on the target transmission duration sequence, wherein a negative correlation relation exists between the numerical value of each sequence position in the second coefficient sequence and the target data transmission duration of the corresponding sequence position in the target transmission duration sequence;
finally, for each first coefficient sequence, calculating a sequence similarity between the first coefficient sequence and the second coefficient sequence (refer to an existing sequence similarity calculation mode), determining the first coefficient sequence corresponding to the sequence similarity with the maximum value as a target first coefficient sequence, and determining a first IP address currently bound by a first history target data transmission node device included in a first device subsequence corresponding to the target first coefficient sequence as a target IP address.
With reference to fig. 3, an embodiment of the present invention further provides a rapid networking system based on photovoltaic power generation, which may be applied to the cloud platform. The rapid networking system based on photovoltaic power generation can comprise:
the target device determining module is used for determining at least one target data transmission node device from the plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
a transmission duration determining module, configured to determine, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device, where the target data transmission duration is used to characterize a duration for transmitting corresponding photovoltaic power generation data;
the IP address determining module is configured to determine, based on a target data transmission duration corresponding to each target data transmission node device of the at least one target data transmission node device, a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool, where each target data transmission node device is configured to send photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool includes multiple IP addresses.
In summary, according to the fast networking method, the fast networking system and the cloud platform based on photovoltaic power generation provided by the present invention, at least one target data transmission node device may be first determined from a plurality of data transmission node devices, and then, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device is determined, so that a target IP address corresponding to each target data transmission node device may be determined in a pre-configured IP address pool based on the target data transmission duration corresponding to each target data transmission node device of the at least one target data transmission node device. Based on the method, the IP address can be dynamically allocated according to the target data transmission duration of the photovoltaic power generation data to be transmitted, the IP address can be reasonably utilized, and therefore the problem that the address control effect is poor in the existing networking technology is solved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A quick networking method based on photovoltaic power generation is applied to a cloud platform, the cloud platform is in communication connection with a plurality of data transmission node devices, and the quick networking method comprises the following steps:
determining at least one target data transmission node device from the plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission duration corresponding to the target data transmission node device, wherein the target data transmission duration is used for representing the duration of transmitting corresponding photovoltaic power generation data;
determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on a target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, wherein each target data transmission node device is used for sending photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool comprises a plurality of IP addresses;
the step of determining at least one target data transmission node device among the plurality of data transmission node devices includes:
acquiring the time for determining at least one historical target data transmission node device last time in history to obtain corresponding historical time information, calculating a difference value between the historical time information and current time information to obtain a corresponding time difference value, and calculating a relative size relation between the time difference value and a preset time difference value threshold;
and if the time difference is greater than or equal to the time difference threshold, determining at least one target data transmission node device from the plurality of data transmission node devices.
2. The photovoltaic power generation-based rapid networking method according to claim 1, wherein the step of determining at least one target data transmission node device among the plurality of data transmission node devices if the time difference is greater than or equal to the time difference threshold value comprises:
if the time difference is greater than or equal to the time difference threshold, determining each data transmission node device, which does not belong to the historical target data transmission node device determined last time in history, of the plurality of data transmission node devices as a first data transmission node device to obtain a plurality of first data transmission node devices;
for each first data transmission node device in the plurality of first data transmission node devices, acquiring historical data transmission time information of historical photovoltaic power generation data transmitted to the cloud platform by the first data transmission node device on the basis of the allocated historical target IP address for the last time in history;
and determining at least one first data transmission node device as a target data transmission node device in the plurality of first data transmission node devices based on the historical data transmission time information corresponding to each first data transmission node device in the plurality of first data transmission node devices, so as to obtain the at least one target data transmission node device.
3. The method for rapid networking based on photovoltaic power generation as claimed in claim 2, wherein the step of determining at least one first data transmission node device as a target data transmission node device among the plurality of first data transmission node devices based on historical data transmission time information corresponding to each first data transmission node device of the plurality of first data transmission node devices to obtain the at least one target data transmission node device comprises:
for each first data transmission node device in the plurality of first data transmission node devices, determining a first coefficient corresponding to the first data transmission node device based on historical data transmission start time information in the historical data transmission time information corresponding to the first data transmission node device, and determining a second coefficient corresponding to the first data transmission node device based on historical data transmission end time information in the historical data transmission time information corresponding to the first data transmission node device, wherein the first coefficient and the historical data transmission start time information have a negative correlation, and the second coefficient and the historical data transmission end time information have a negative correlation;
and for each first data transmission node device in the plurality of first data transmission node devices, performing weighted summation calculation on a first coefficient corresponding to the first data transmission node device and a second coefficient corresponding to the first data transmission node device to obtain a weighted fusion coefficient corresponding to the first data transmission node device, and determining, as a target data transmission node device, a corresponding number of first data transmission node devices with the largest corresponding weighted fusion coefficient from the plurality of first data transmission node devices based on a preconfigured number of target devices.
4. The photovoltaic power generation-based rapid networking method according to claim 1, wherein the step of determining, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device comprises:
for each target data transmission node device in the at least one target data transmission node device, determining historical data transmission time of each historical transmission of historical photovoltaic power generation data by the target data transmission node device in history to obtain a plurality of corresponding historical data transmission time;
and for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission time length corresponding to the target data transmission node device based on a plurality of historical data transmission time lengths corresponding to the target data transmission node device.
5. The photovoltaic power generation-based rapid networking method according to claim 4, wherein the step of determining, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device based on a plurality of historical data transmission durations corresponding to the target data transmission node device includes:
for each target data transmission node device in the at least one target data transmission node device, acquiring a time interval between historical data transmission start time information and current time information of historical photovoltaic power generation data which is transmitted by the target data transmission node device at the last time in history;
for each target data transmission node device in the at least one target data transmission node device, respectively acquiring a historical time interval corresponding to each historical data transmission time length in a plurality of historical data transmission time lengths corresponding to the target data transmission node device, wherein the historical time interval is used for representing a time interval between historical current time information corresponding to historical photovoltaic power generation data corresponding to the corresponding historical data transmission time length and historical data transmission start time information corresponding to historical photovoltaic power generation data transmitted last time of the historical photovoltaic power generation data;
for each target data transmission node device in the at least one target data transmission node device, respectively calculating interval similarity between a historical time interval corresponding to each of a plurality of historical data transmission durations corresponding to the target data transmission node device and a time interval corresponding to the target data transmission node device, so as to obtain interval similarity corresponding to each historical data transmission duration corresponding to the target data transmission node device;
for each target data transmission node device in the at least one target data transmission node device, determining a weighting coefficient corresponding to each historical data transmission time length based on the interval similarity corresponding to each historical data transmission time length corresponding to the target data transmission node device, and performing weighted summation calculation on each historical data transmission time length based on the weighting coefficient corresponding to each historical data transmission time length to obtain the target data transmission time length corresponding to the target data transmission node device, wherein the sum value of the weighting coefficients corresponding to each historical data transmission time length corresponding to any one target data transmission node device in the at least one target data transmission node device is 1.
6. The photovoltaic power generation-based rapid networking method according to any one of claims 1 to 5, wherein the step of determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on a target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device comprises:
in a pre-configured IP address pool, counting the number of current idle IP addresses to obtain a corresponding idle address counting number, counting the number of at least one target data transmission node device to obtain a corresponding target device counting number, and determining a relative size relation between the target device counting number and the idle address counting number;
if the statistical number of the target equipment is less than or equal to the statistical number of the idle addresses, selecting the IP addresses with the number equal to the statistical number of the target equipment from the current idle IP addresses as at least one target IP address corresponding to the at least one target data transmission node equipment;
if the statistical number of the target devices is larger than the statistical number of the idle addresses, each IP address which is idle at present is used as a target IP address corresponding to the at least one target data transmission node device, the difference between the statistical number of the target devices and the statistical number of the idle addresses is calculated to obtain the corresponding difference number, and each IP address which is not idle at present and is included in the IP address pool is determined as a first IP address to obtain a plurality of first IP addresses;
determining the first IP addresses with the quantity being the difference quantity in the plurality of first IP addresses as the target IP addresses of the at least one target data transmission node device;
and performing one-to-one pairing processing on the determined target IP address and the at least one target data transmission node device based on the target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, so that each target data transmission node device is used for sending the photovoltaic power generation data to be transmitted based on the paired target IP address.
7. The photovoltaic power generation-based rapid networking method according to claim 6, wherein the step of determining, as the target IP address of the at least one target data transfer node device, a number of first IP addresses that is the difference number among the plurality of first IP addresses comprises:
for each first IP address in the plurality of first IP addresses, determining the historical target data transmission node equipment currently bound by the first IP address as the first historical target data transmission node equipment corresponding to the first IP address;
aiming at a plurality of first historical target data transmission node devices corresponding to a plurality of first IP addresses, determining a photovoltaic power generation module corresponding to the first historical target data transmission node device, and determining module position information corresponding to the photovoltaic power generation module, wherein each photovoltaic power generation module comprises a plurality of photovoltaic power generation units, each photovoltaic power generation unit comprises a plurality of photovoltaic power generation groups, each photovoltaic power generation group corresponds to one piece of photovoltaic power generation subdata, and a plurality of pieces of photovoltaic power generation subdata corresponding to the plurality of photovoltaic power generation groups included in one photovoltaic power generation unit form one piece of photovoltaic power generation data;
for a plurality of first historical target data transmission node devices corresponding to the plurality of first IP addresses, respectively calculating the position correlation between the module position information corresponding to the first historical target data transmission node devices and the module position information corresponding to each target data transmission node device, and determining a position correlation fusion value corresponding to the first historical target data transmission node devices based on the position correlation between the module position information corresponding to the first historical target data transmission node devices and the module position information corresponding to each target data transmission node device;
performing matrix construction processing on the plurality of first historical target data transmission node devices based on module position information corresponding to the plurality of first historical target data transmission node devices to obtain device distribution matrices corresponding to the plurality of first historical target data transmission node devices;
dividing the device distribution matrix based on the difference number to obtain a plurality of device distribution sub-matrices of corresponding number, constructing and forming corresponding matrix sets based on the plurality of device distribution sub-matrices, performing the step of dividing the device distribution matrix based on the difference number for a plurality of times to obtain a plurality of device distribution sub-matrices corresponding to the device distribution matrix, constructing and forming corresponding matrix sets based on the plurality of device distribution sub-matrices to obtain a plurality of matrix sets, and calculating a discrete degree value of matrix size among the plurality of device distribution sub-matrices included in the matrix set for each matrix set, wherein the matrix size is used for representing the number of matrix elements included in the corresponding device distribution sub-matrices;
determining a discrete degree value with a minimum value as a target discrete degree value in a plurality of discrete degree values corresponding to the matrix sets, determining the matrix set corresponding to the target discrete degree value as a target matrix set, determining a first historical target data transmission node device with a corresponding position correlation degree fusion value with a maximum value in each device distribution sub-matrix in the device distribution sub-matrix aiming at each device distribution sub-matrix in the target matrix set, and determining a first IP address currently bound by the first historical target data transmission node device as a target IP address.
8. The utility model provides a quick networking system based on photovoltaic power generation which characterized in that is applied to the cloud platform, cloud platform communication connection has a plurality of data transmission node equipment, quick networking system includes:
the target device determining module is used for determining at least one target data transmission node device from the plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
a transmission duration determining module, configured to determine, for each target data transmission node device of the at least one target data transmission node device, a target data transmission duration corresponding to the target data transmission node device, where the target data transmission duration is used to characterize a duration for transmitting corresponding photovoltaic power generation data;
the device comprises an IP address determining module and a data transmission module, wherein the IP address determining module is used for determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on a target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, each target data transmission node device is used for sending photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool comprises a plurality of IP addresses.
9. A cloud platform comprising a memory and a processor for executing a computer program in the memory to perform the steps of:
determining at least one target data transmission node device from a plurality of data transmission node devices, wherein each target data transmission node device has photovoltaic power generation data to be transmitted;
for each target data transmission node device in the at least one target data transmission node device, determining a target data transmission duration corresponding to the target data transmission node device, wherein the target data transmission duration is used for representing the duration of transmitting corresponding photovoltaic power generation data;
and determining a target IP address corresponding to each target data transmission node device in a pre-configured IP address pool based on the target data transmission duration corresponding to each target data transmission node device in the at least one target data transmission node device, wherein each target data transmission node device is used for sending the photovoltaic power generation data to be transmitted to the cloud platform based on the corresponding target IP address, and the IP address pool comprises a plurality of IP addresses.
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