CN115174638B - Networking method and system for photovoltaic panel data acquisition equipment - Google Patents

Networking method and system for photovoltaic panel data acquisition equipment Download PDF

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CN115174638B
CN115174638B CN202211082287.8A CN202211082287A CN115174638B CN 115174638 B CN115174638 B CN 115174638B CN 202211082287 A CN202211082287 A CN 202211082287A CN 115174638 B CN115174638 B CN 115174638B
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acquisition devices
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gateways
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CN115174638A (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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    • 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
    • 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
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/12—Discovery or management of network topologies

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  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a networking method and a networking system for photovoltaic panel data acquisition equipment, and relates to the technical field of photovoltaic power generation. In the invention, for each acquisition device in a plurality of acquisition devices to be networked, the device feature extraction operation is carried out on the acquisition device to form the device feature information corresponding to the acquisition device. And for every two acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices. And classifying the plurality of acquisition devices according to the device correlation coefficients between the plurality of gateways and every two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set. Based on the method, the problem of low reliability of equipment binding in the prior art can be solved.

Description

Networking method and system for photovoltaic panel data acquisition equipment
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a networking method and a networking system for photovoltaic panel data acquisition equipment.
Background
High-power and centralized photovoltaic arrays and the like are usually formed by connecting a plurality of photovoltaic strings in series and in parallel, and each acquisition device is responsible for data acquisition of one photovoltaic string. Before data acquisition of the device, the device generally needs to be networked, and for example, when there are multiple gateways, a binding relationship between the acquisition device and the gateways needs to be determined, so that each gateway can dynamically allocate an IP address to the bound acquisition device. However, in the prior art, the binding between the acquisition device and the gateway is generally realized based on random selection of a worker, so that the binding reliability is not high.
Disclosure of Invention
In view of the above, the present invention provides a networking method and system for a photovoltaic panel data acquisition device, so as to solve the problem of low reliability of device binding in the prior art.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a networking method of photovoltaic panel data acquisition equipment is applied to a photovoltaic data processing server, the photovoltaic data processing server is in communication connection with a plurality of gateways, and the networking method of the photovoltaic panel data acquisition equipment comprises the following steps:
for each acquisition device in a plurality of acquisition devices to be networked, carrying out device feature extraction operation on the acquisition device to form device feature information corresponding to the acquisition device, wherein each acquisition device is used for carrying out photovoltaic data acquisition on a corresponding photovoltaic group string;
for every two acquisition devices in the plurality of acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices;
classifying the plurality of acquisition devices according to the device correlation coefficient between the plurality of gateways and every two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set, so that each acquisition device acquires a corresponding IP address according to IP address allocation operation performed on the bound gateway, and the gateways bound by every two acquisition devices in the same acquisition device set are the same.
In some preferred embodiments, in the networking method for photovoltaic panel data acquisition devices, for each acquisition device in a plurality of acquisition devices to be networked, the step of performing device feature extraction on the acquisition device to form device feature information corresponding to the acquisition device includes:
determining a set of feature dimensions, the set of feature dimensions comprising a plurality of target feature dimensions;
for each acquisition device in a plurality of acquisition devices to be networked, respectively performing device feature extraction operation on the acquisition device according to each target feature dimension in a plurality of target feature dimensions included in the feature dimension set to form a device feature set corresponding to the acquisition device, wherein the device feature set includes a plurality of pieces of device feature information corresponding to the plurality of target feature dimensions.
In some preferred embodiments, in the networking method for photovoltaic panel data acquisition devices, for each of a plurality of acquisition devices to be networked, the step of performing device feature extraction operation on the acquisition device according to each of a plurality of target feature dimensions included in the feature dimension set, so as to form a device feature set corresponding to the acquisition device includes:
for each acquisition device in a plurality of acquisition devices to be networked, according to a device position dimension in a plurality of target feature dimensions included in the feature dimension set, performing device position determination operation on the acquisition device to form device position feature information corresponding to the acquisition device;
for each acquisition device in a plurality of acquisition devices to be networked, performing device performance determination operation on the acquisition device according to a device performance dimension in a plurality of target feature dimensions included in the feature dimension set to form device performance feature information corresponding to the acquisition device;
for each acquisition device in a plurality of acquisition devices to be networked, performing device performance determination operation on a photovoltaic group string corresponding to the acquisition device according to a photovoltaic panel performance dimension in a plurality of target characteristic dimensions included in the characteristic dimension set to form photovoltaic panel performance characteristic information corresponding to the acquisition device, and then forming a corresponding device characteristic set according to the photovoltaic panel performance characteristic information, device position characteristic information corresponding to the acquisition device and device performance characteristic information corresponding to the acquisition device.
In some preferred embodiments, in the networking method for photovoltaic panel data collecting devices, the step of, for each two collecting devices in the plurality of collecting devices, performing device correlation calculation operation on the two collecting devices according to device characteristic information corresponding to the two collecting devices to form a device correlation coefficient between the two collecting devices includes:
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on a plurality of device feature information corresponding to a plurality of target feature dimensions corresponding to the two acquisition devices to output a plurality of feature similarities between the two acquisition devices;
and for every two acquisition devices in the plurality of acquisition devices, carrying out similarity fusion operation on the feature similarities between the two acquisition devices so as to carry out device correlation calculation operation on the two acquisition devices and output a device correlation coefficient between the two acquisition devices.
In some preferred embodiments, in the networking method for photovoltaic panel data acquisition devices, for each two acquisition devices of the multiple acquisition devices, the step of performing a feature similarity calculation operation on multiple device feature information corresponding to multiple target feature dimensions corresponding to the two acquisition devices respectively to output multiple feature similarities between the two acquisition devices includes:
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on the device position feature information corresponding to the two acquisition devices to output position feature similarity between the two acquisition devices, wherein the position feature similarity and the distance between the device positions represented by the device position feature information have a negative correlation corresponding relationship;
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on device performance feature information corresponding to the two acquisition devices to output performance feature similarity between the two acquisition devices, wherein the performance feature similarity and the difference between the device performances represented by the device performance feature information have a negative correlation corresponding relationship;
for every two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on the photovoltaic panel performance feature information corresponding to the two acquisition devices to output the photovoltaic panel performance feature similarity between the two acquisition devices, wherein the difference between the photovoltaic panel performance feature similarity and the photovoltaic panel performance represented by the photovoltaic panel performance feature information has a negative correlation corresponding relation.
In some preferred embodiments, in the networking method for photovoltaic panel data acquisition devices, for each two acquisition devices in the plurality of acquisition devices, the step of performing a similarity fusion operation on a plurality of feature similarities between the two acquisition devices to perform a device correlation calculation operation on the two acquisition devices and output a device correlation coefficient between the two acquisition devices includes:
acquiring a weighting coefficient generated in advance in response to configuration operation of a corresponding management user aiming at each feature similarity in the plurality of feature similarities;
and for every two acquisition devices in the plurality of acquisition devices, carrying out similarity weighted summation calculation operation on the plurality of feature similarities between the two acquisition devices according to the weighting coefficient corresponding to each feature similarity so as to carry out device correlation calculation operation on the two acquisition devices and output a device correlation coefficient between the two acquisition devices.
In some preferred embodiments, in the networking method for photovoltaic panel data collecting devices, the step of classifying the plurality of collecting devices according to the device correlation coefficient between the plurality of gateways and each two collecting devices to form at least one collecting device set, and then performing device binding operation on the plurality of gateways and the at least one collecting device set includes:
performing gateway quantity counting operation on the plurality of gateways to output the quantity of the target gateway;
and classifying the plurality of acquisition devices according to the number of the target gateways and the device correlation coefficient between every two acquisition devices to form a plurality of acquisition device sets of the number of the target gateways, and then performing device binding operation on the plurality of gateways and the plurality of acquisition device sets of the number of the target gateways so that the gateways correspond to the acquisition device sets one by one.
In some preferred embodiments, in the networking method for photovoltaic panel data acquisition devices, the step of classifying the plurality of acquisition devices according to the number of target gateways and a device correlation coefficient between every two acquisition devices to form an acquisition device set with the number of target gateways, and then performing device binding operation on the plurality of gateways and the acquisition device set with the number of target gateways so that the gateways and the acquisition device sets correspond to each other one by one includes:
screening a plurality of acquisition devices of the target gateway number from the plurality of acquisition devices to form a plurality of first acquisition devices of a corresponding number;
for each first acquisition device in the plurality of first acquisition devices, performing set creation operation on the first acquisition device to form an acquisition device set corresponding to the first acquisition device, and then placing the first acquisition device into the acquisition device set corresponding to the first acquisition device to form the acquisition device sets with the number of the target gateways;
for each other acquisition device except the first acquisition device in the plurality of acquisition devices, screening out one first acquisition device with the maximum device correlation coefficient between the first acquisition device and the other acquisition device from the plurality of first acquisition devices to form the relevant first acquisition device corresponding to the other acquisition device, and then putting the other acquisition device into the acquisition device set corresponding to the relevant first acquisition device corresponding to the other acquisition device;
and carrying out equipment binding operation on the plurality of gateways and the acquisition equipment sets with the number of the target gateways so as to enable the gateways and the acquisition equipment sets to be in one-to-one correspondence.
In some preferred embodiments, in the above method for networking photovoltaic panel data collecting devices, the step of screening out the target gateway number of collecting devices from the plurality of collecting devices to form a corresponding number of first collecting devices includes:
a1, for each acquisition device in the plurality of acquisition devices, performing mean value calculation operation on device correlation coefficients between the acquisition device and each other acquisition device except the acquisition device to form a device correlation coefficient mean value corresponding to the acquisition device, and marking two acquisition devices corresponding to the device correlation coefficient mean value with the maximum value and the device correlation coefficient mean value with the minimum value in the plurality of acquisition devices as two first acquisition devices;
a2, for each other acquisition device except the first acquisition device in the plurality of acquisition devices, vectorizing the other acquisition device according to two device correlation coefficients between the other acquisition device and the two first acquisition devices to form a target correlation two-dimensional vector corresponding to the other acquisition device;
a3, forming a plurality of two-dimensional coordinate points in a two-dimensional space according to the target correlation two-dimensional vectors corresponding to each other acquisition device except the first acquisition device in the plurality of acquisition devices;
a4, calculating the number of target devices according to the number of the target gateways, wherein the difference value between the number of the target gateways and the number of the target devices is equal to 2;
a5, sequentially traversing the plurality of two-dimensional coordinate points according to any sequence, stopping traversing until the number of the currently traversed two-dimensional coordinate points is equal to the number of the target devices, and constructing the currently traversed two-dimensional coordinate points to form a coordinate point set;
a6, after A5 is executed for multiple times to form a plurality of coordinate point sets, for each coordinate point set in the plurality of formed coordinate point sets, constructing other acquisition devices corresponding to each two-dimensional coordinate point included in the coordinate point set to form a corresponding candidate device set, then placing the two first acquisition devices into the candidate device set, for each candidate device set, performing mean value calculation operation on device correlation coefficients between every two acquisition devices included in the candidate device set to output target device correlation coefficients corresponding to the candidate device set, then performing device marking operation on each acquisition device included in the candidate device set corresponding to the target device correlation coefficient with the minimum value to mark as a first acquisition device, and executing the two-dimensional coordinate points included in the coordinate point set formed by A5 twice at least partially differently; or
And A7, after the step A5 is executed for multiple times to form a plurality of coordinate point sets, performing target path length calculation operation on each coordinate point set in the plurality of formed coordinate point sets to form a target path length corresponding to the coordinate point set, and performing equipment marking operation on other acquisition equipment corresponding to each two-dimensional coordinate point included in the coordinate point set corresponding to the target path length with the maximum value to mark the other acquisition equipment as first acquisition equipment, wherein the target path length is used for reflecting the shortest path for traversing each two-dimensional coordinate point included in the corresponding coordinate point set, and the two-dimensional coordinate points included in the coordinate point set formed by executing the step A5 twice are at least partially different.
The embodiment of the invention also provides a networking system of the photovoltaic panel data acquisition equipment, which is applied to a photovoltaic data processing server, wherein the photovoltaic data processing server is in communication connection with a plurality of gateways, and the networking system of the photovoltaic panel data acquisition equipment comprises:
the device feature extraction module is used for carrying out device feature extraction operation on each acquisition device in a plurality of acquisition devices to be networked so as to form device feature information corresponding to the acquisition device, and each acquisition device is used for carrying out photovoltaic data acquisition on a corresponding photovoltaic group string;
the device correlation calculation module is used for performing device correlation calculation operation on each two acquisition devices in the acquisition devices according to the device characteristic information corresponding to the two acquisition devices so as to form a device correlation coefficient between the two acquisition devices;
and the equipment gateway binding module is used for classifying the plurality of acquisition equipment according to the equipment correlation coefficient between the plurality of gateways and every two acquisition equipment to form at least one acquisition equipment set, and then performing equipment binding operation on the plurality of gateways and the at least one acquisition equipment set to ensure that each acquisition equipment acquires a corresponding IP address according to IP address allocation operation performed by the bound gateway, and the gateways bound by every two acquisition equipment in the same acquisition equipment set are the same.
According to the networking method and system of the photovoltaic panel data acquisition equipment, provided by the embodiment of the invention, for each acquisition equipment in a plurality of acquisition equipment to be networked, equipment characteristic extraction operation is carried out on the acquisition equipment so as to form equipment characteristic information corresponding to the acquisition equipment. And for every two acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices. And classifying the plurality of acquisition devices according to the device correlation coefficients between the plurality of gateways and every two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set. Based on the content, the gateway and the acquisition equipment can be bound by combining the equipment correlation coefficient between the acquisition equipment, so that the binding basis is more sufficient and reliable, and the problem of low reliability of equipment binding in the prior art 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 block diagram of a photovoltaic data processing server according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart illustrating steps included in a networking method of a photovoltaic panel data acquisition device according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of modules included in a networking system of a photovoltaic panel data acquisition device 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 photovoltaic data processing server. Wherein the photovoltaic data processing server may include a memory and a processor.
In a detailed embodiment, the memory is electrically coupled to the processor, directly or indirectly, to enable data transfer 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 networking method of the photovoltaic panel data acquisition device provided by the embodiment of the present invention.
In a detailed embodiment, 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.
In a detailed embodiment, the photovoltaic data processing server may be communicatively connected with a plurality of gateways to be communicatively connected with the collection device through the gateways.
With reference to fig. 2, an embodiment of the present invention further provides a networking method for a photovoltaic panel data acquisition device, which can be applied to the photovoltaic data processing server. The method steps defined by the flow related to the networking method of the photovoltaic panel data acquisition device can be realized by the photovoltaic data processing server. The specific process shown in FIG. 2 will be described in detail below.
Step S110, for each of a plurality of acquisition devices to be networked, performing device feature extraction on the acquisition device to form device feature information corresponding to the acquisition device.
In the embodiment of the present invention, the photovoltaic data processing server may, for each of a plurality of collection devices to be networked, perform device feature extraction on the collection device to form device feature information corresponding to the collection device. Each acquisition device is used for carrying out photovoltaic data acquisition on a corresponding photovoltaic group string.
Step S120, for each two acquisition devices of the multiple acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device feature information corresponding to the two acquisition devices, so as to form a device correlation coefficient between the two acquisition devices.
In the embodiment of the present invention, for each two acquisition devices in the multiple acquisition devices, the photovoltaic data processing server may perform device correlation calculation operation on the two acquisition devices according to device feature information corresponding to the two acquisition devices, so as to form a device correlation coefficient between the two acquisition devices.
Step S130, classifying the plurality of collecting devices according to the device correlation coefficients between the plurality of gateways and every two collecting devices to form at least one collecting device set, and then performing device binding operation on the plurality of gateways and the at least one collecting device set.
In the embodiment of the present invention, the photovoltaic data processing server may perform a classification operation on the multiple collection devices according to the device correlation coefficient between the multiple gateways and each two collection devices to form at least one collection device set, and then perform a device binding operation on the multiple gateways and the at least one collection device set. In this way, each acquisition device obtains a corresponding IP address according to the IP address allocation operation performed by the bound gateway, and every two gateways bound by the same acquisition device set are the same (for example, two acquisition devices with a higher device correlation coefficient may be bound by the same gateway).
Therefore, for each acquisition device in the plurality of acquisition devices to be networked, the device feature extraction operation is performed on the acquisition device to form device feature information corresponding to the acquisition device. And for every two acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices. And classifying the plurality of acquisition devices according to the device correlation coefficients between the plurality of gateways and every two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set. Based on the content, the gateway and the acquisition equipment can be bound by combining the equipment correlation coefficient between the acquisition equipment, so that the binding basis is more sufficient and reliable, and the problem of low reliability of equipment binding in the prior art is solved.
In a detailed embodiment, step S110 in the above description may include:
determining a set of feature dimensions, the set of feature dimensions comprising a plurality of target feature dimensions;
for each acquisition device in a plurality of acquisition devices to be networked, respectively performing device feature extraction operation on the acquisition device according to each target feature dimension in a plurality of target feature dimensions included in the feature dimension set to form a device feature set corresponding to the acquisition device, wherein the device feature set includes a plurality of pieces of device feature information corresponding to the plurality of target feature dimensions.
In a detailed embodiment, the above description of "for each acquisition device of a plurality of acquisition devices to be networked, performing a device feature extraction operation on the acquisition device according to each target feature dimension of a plurality of target feature dimensions included in the feature dimension set, respectively, to form a device feature set corresponding to the acquisition device" may include:
for each acquisition device in a plurality of acquisition devices to be networked, according to a device position dimension in a plurality of target feature dimensions included in the feature dimension set, performing device position determination operation on the acquisition device to form device position feature information corresponding to the acquisition device;
for each acquisition device in a plurality of acquisition devices to be networked, performing device performance determination operation on the acquisition device according to a device performance dimension in a plurality of target feature dimensions included in the feature dimension set to form device performance feature information corresponding to the acquisition device (the device performance feature information may refer to a factory performance detection result of the corresponding acquisition device);
for each acquisition device of a plurality of acquisition devices to be networked, according to a photovoltaic panel performance dimension of a plurality of target characteristic dimensions included in the characteristic dimension set, performing device performance determination operation on a photovoltaic group string corresponding to the acquisition device to form photovoltaic panel performance characteristic information corresponding to the acquisition device (the photovoltaic panel performance characteristic information may refer to a factory performance detection result of the corresponding photovoltaic group string), and then according to the photovoltaic panel performance characteristic information, device position characteristic information corresponding to the acquisition device, and device performance characteristic information corresponding to the acquisition device, forming a corresponding device characteristic set.
In a detailed embodiment, step S120 in the above description may include:
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on a plurality of device feature information corresponding to a plurality of target feature dimensions corresponding to the two acquisition devices to output a plurality of feature similarities between the two acquisition devices;
and for every two acquisition devices in the plurality of acquisition devices, carrying out similarity fusion operation on a plurality of feature similarities between the two acquisition devices so as to carry out device correlation calculation operation on the two acquisition devices, and outputting a device correlation coefficient between the two acquisition devices.
In a detailed embodiment, the above description of "for each two acquisition devices of the plurality of acquisition devices, respectively performing a feature similarity calculation operation on a plurality of device feature information corresponding to a plurality of target feature dimensions corresponding to the two acquisition devices to output a plurality of feature similarities between the two acquisition devices" may include:
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on the device position feature information corresponding to the two acquisition devices to output position feature similarity between the two acquisition devices, wherein the position feature similarity and the distance between the device positions represented by the device position feature information have a negative correlation corresponding relationship;
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on device performance feature information corresponding to the two acquisition devices to output performance feature similarity between the two acquisition devices, wherein the performance feature similarity and the difference between the device performances represented by the device performance feature information have a negative correlation corresponding relationship;
and for every two acquisition devices in the plurality of acquisition devices, respectively carrying out characteristic similarity calculation operation on the photovoltaic panel performance characteristic information corresponding to the two acquisition devices so as to output the photovoltaic panel performance characteristic similarity between the two acquisition devices, wherein the photovoltaic panel performance characteristic similarity and the difference between the photovoltaic panel performances represented by the photovoltaic panel performance characteristic information have a negative correlation corresponding relation.
In a detailed embodiment, the above description of "performing, for each two acquisition devices of the plurality of acquisition devices, a similarity fusion operation on a plurality of feature similarities between the two acquisition devices to perform a device correlation calculation operation on the two acquisition devices, and outputting a device correlation coefficient between the two acquisition devices" may include:
acquiring a weighting coefficient generated in advance in response to configuration operation of a corresponding management user aiming at each feature similarity in the plurality of feature similarities;
and for every two acquisition devices in the plurality of acquisition devices, carrying out similarity weighted summation calculation operation on the plurality of feature similarities between the two acquisition devices according to the weighting coefficient corresponding to each feature similarity so as to carry out device correlation calculation operation on the two acquisition devices and output a device correlation coefficient between the two acquisition devices.
In a detailed embodiment, step S130 in the above description may include:
performing gateway quantity counting operation on the plurality of gateways to output the quantity of the target gateway;
and classifying the plurality of acquisition devices according to the number of the target gateways and the device correlation coefficient between every two acquisition devices to form a plurality of acquisition device sets of the number of the target gateways, and then performing device binding operation on the plurality of gateways and the plurality of acquisition device sets of the number of the target gateways so that the gateways correspond to the acquisition device sets one by one.
In a detailed embodiment, the above description of "classifying the multiple acquisition devices according to the number of the target gateways and a device correlation coefficient between every two acquisition devices to form the target gateway number of acquisition device sets, and then performing device binding operation on the multiple gateways and the target gateway number of acquisition device sets so that the gateways and the acquisition device sets correspond to each other one to one" may include:
screening a plurality of acquisition devices with the number of the target gateways from the plurality of acquisition devices to form a plurality of first acquisition devices with the corresponding number;
for each first acquisition device in the plurality of first acquisition devices, performing set creation operation on the first acquisition device to form an acquisition device set corresponding to the first acquisition device, and then placing the first acquisition device into the acquisition device set corresponding to the first acquisition device to form acquisition device sets with the number of the target gateways;
for each other acquisition device except the first acquisition device in the plurality of acquisition devices, screening out one first acquisition device with the maximum device correlation coefficient between the first acquisition device and the other acquisition device from the plurality of first acquisition devices to form a relevant first acquisition device corresponding to the other acquisition device, and then putting the other acquisition device into an acquisition device set corresponding to the relevant first acquisition device corresponding to the other acquisition device;
and carrying out equipment binding operation on the plurality of gateways and the acquisition equipment sets with the number of the target gateways so as to enable the gateways and the acquisition equipment sets to be in one-to-one correspondence.
In a detailed embodiment, "screening the target gateway number of harvesting devices from the plurality of harvesting devices to form a corresponding number of first harvesting devices" in the above description may include:
a1, for each acquisition device in the plurality of acquisition devices, performing mean value calculation operation on device correlation coefficients between the acquisition device and each other acquisition device except the acquisition device to form a device correlation coefficient mean value corresponding to the acquisition device, and marking two acquisition devices corresponding to the device correlation coefficient mean value with the maximum value and the device correlation coefficient mean value with the minimum value in the plurality of acquisition devices as two first acquisition devices;
a2, for each other acquisition device except the first acquisition device in the plurality of acquisition devices, vectorizing the other acquisition device according to two device correlation coefficients between the other acquisition device and the two first acquisition devices to form a target correlation two-dimensional vector corresponding to the other acquisition device;
a3, forming a plurality of two-dimensional coordinate points in a two-dimensional space according to the target correlation two-dimensional vectors corresponding to each other acquisition device except the first acquisition device in the plurality of acquisition devices (the corresponding two-dimensional coordinates may be corresponding two device correlation coefficients);
a4, calculating the number of target devices according to the number of the target gateways, wherein the difference value between the number of the target gateways and the number of the target devices is equal to 2;
a5, sequentially traversing the plurality of two-dimensional coordinate points according to any sequence, stopping traversing until the number of the currently traversed two-dimensional coordinate points is equal to the number of the target devices, and constructing the currently traversed two-dimensional coordinate points to form a coordinate point set;
a6, after A5 is executed for multiple times to form multiple coordinate point sets, for each coordinate point set in the multiple coordinate point sets, other acquisition devices corresponding to each two-dimensional coordinate point included in the coordinate point set are constructed to form a corresponding candidate device set, then the two first acquisition devices are placed into the candidate device set, for each candidate device set, a mean value calculation operation is performed on device correlation coefficients between every two acquisition devices included in the candidate device set to output a target device correlation coefficient corresponding to the candidate device set, then each acquisition device included in the candidate device set corresponding to the target device correlation coefficient with the minimum value is subjected to a device marking operation to mark as a first acquisition device, and the two-dimensional coordinate points included in the coordinate point set formed by A5 are executed twice at least partially different; or
And A7, after the step A5 is executed for multiple times to form a plurality of coordinate point sets, performing target path length calculation operation on each coordinate point set in the plurality of formed coordinate point sets to form a target path length corresponding to the coordinate point set, and performing equipment marking operation on other acquisition equipment corresponding to each two-dimensional coordinate point included in the coordinate point set corresponding to the target path length with the maximum value to mark the other acquisition equipment as first acquisition equipment, wherein the target path length is used for reflecting the shortest path for traversing each two-dimensional coordinate point included in the corresponding coordinate point set, and the two-dimensional coordinate points included in the coordinate point set formed by executing the step A5 twice are at least partially different.
In a detailed embodiment, "screening the target gateway number of harvesting devices from the plurality of harvesting devices to form a corresponding number of first harvesting devices" in the above description may include:
for each acquisition device in the plurality of acquisition devices, performing sorting operation (for example, sorting according to the sequence of the device correlation coefficients from large to small) on each other acquisition device except the acquisition device according to the device correlation coefficient between the acquisition device and each other acquisition device except the acquisition device to form an acquisition device sequence corresponding to the acquisition device;
for each two acquisition devices in the plurality of acquisition devices, performing similarity calculation operation on the acquisition device sequences corresponding to the two acquisition devices according to whether the other acquisition devices at the corresponding sequence positions are the same (for example, calculating the ratio of the number of the sequence positions corresponding to the other acquisition devices having the same sequence position), so as to output the sequence similarity between the acquisition device sequences corresponding to the two acquisition devices, as the device similarity between the two acquisition devices;
for each acquisition device in the plurality of acquisition devices, screening an equipment correlation coefficient corresponding to a median from equipment correlation coefficients between the acquisition device and each other acquisition device except the acquisition device to mark the equipment correlation coefficient as a reference coefficient corresponding to the acquisition device, respectively performing difference absolute value calculation operation on the equipment correlation coefficient between the acquisition device and each other acquisition device except the acquisition device according to the reference coefficient, screening an absolute difference corresponding to the median from the obtained difference absolute values to mark the absolute difference as a screening coefficient, and marking other acquisition devices (at least one device) corresponding to each equipment correlation coefficient corresponding to the screening coefficient as a representative acquisition device corresponding to the acquisition device;
for every two acquisition devices in the multiple acquisition devices, performing device contact ratio calculation operation (that is, the number of the same acquisition devices accounts for the ratio) on the representative acquisition devices corresponding to the two acquisition devices to output device contact ratio between the two acquisition devices, and then performing fusion operation (for example, performing weighted average calculation) on the device contact ratio and the device same degree corresponding to the two acquisition devices to output device correlation between the two acquisition devices;
screening the target gateway number of acquisition devices from the plurality of acquisition devices according to the device correlation degree between every two acquisition devices to form a corresponding number of first acquisition devices, wherein the average value of the device correlation degree between every two first acquisition devices in the plurality of first acquisition devices has a minimum value in the average value of the device correlation degrees corresponding to all device combinations, and each device combination comprises the target gateway number of acquisition devices.
Referring to fig. 3, an embodiment of the present invention further provides a networking system for a photovoltaic panel data acquisition device, which can be applied to the photovoltaic data processing server.
In a detailed embodiment, the networking system of the photovoltaic panel data acquisition device may include a device feature extraction module, a device correlation calculation module, and a device gateway binding module.
In a detailed embodiment, the device feature extraction module is configured to, for each of a plurality of acquisition devices to be networked, perform device feature extraction on the acquisition device to form device feature information corresponding to the acquisition device, where each of the acquisition devices is configured to perform photovoltaic data acquisition on a corresponding photovoltaic string.
In a detailed embodiment, the device correlation calculation module is configured to, for each two acquisition devices of the multiple acquisition devices, perform device correlation calculation operation on the two acquisition devices according to device feature information corresponding to the two acquisition devices, so as to form a device correlation coefficient between the two acquisition devices.
In a detailed implementation manner, the device gateway binding module is configured to perform a classification operation on the multiple collection devices according to a device correlation coefficient between the multiple gateways and every two collection devices to form at least one collection device set, and perform a device binding operation on the multiple gateways and the at least one collection device set, so that each collection device obtains a corresponding IP address according to an IP address allocation operation performed by the bound gateway, and gateways bound to every two collection devices in the same collection device set are the same.
In summary, according to the networking method and system for the photovoltaic panel data acquisition device provided by the invention, for each acquisition device of a plurality of acquisition devices to be networked, device feature extraction operation is performed on the acquisition device to form device feature information corresponding to the acquisition device. And for every two acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices. And classifying the plurality of acquisition devices according to the device correlation coefficients between the plurality of gateways and every two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set. Based on the content, the gateway and the acquisition equipment can be bound by combining the equipment correlation coefficient between the acquisition equipment, so that the binding basis is more sufficient and reliable, and the problem of low reliability of equipment binding in the prior art 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 (6)

1. The networking method of the photovoltaic panel data acquisition equipment is characterized by being applied to a photovoltaic data processing server, wherein the photovoltaic data processing server is in communication connection with a plurality of gateways, and the networking method of the photovoltaic panel data acquisition equipment comprises the following steps:
for each acquisition device in a plurality of acquisition devices to be networked, carrying out device feature extraction operation on the acquisition device to form device feature information corresponding to the acquisition device, wherein each acquisition device is used for carrying out photovoltaic data acquisition on a corresponding photovoltaic group string;
for every two acquisition devices in the plurality of acquisition devices, performing device correlation calculation operation on the two acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices;
classifying the plurality of acquisition devices according to the device correlation coefficient between the plurality of gateways and every two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set, so that each acquisition device acquires a corresponding IP address according to IP address allocation operation performed on the bound gateways, and the gateways bound by every two acquisition devices in the same acquisition device set are the same;
the step of performing device feature extraction operation on each acquisition device of a plurality of acquisition devices to be networked to form device feature information corresponding to the acquisition device includes:
determining a set of feature dimensions, the set of feature dimensions comprising a plurality of target feature dimensions;
for each acquisition device in a plurality of acquisition devices to be networked, respectively performing device feature extraction operation on the acquisition device according to each target feature dimension in a plurality of target feature dimensions included in the feature dimension set to form a device feature set corresponding to the acquisition device, wherein the device feature set includes a plurality of pieces of device feature information corresponding to the plurality of target feature dimensions;
wherein, the step of classifying the plurality of collecting devices according to the device correlation coefficient between the plurality of gateways and every two collecting devices to form at least one collecting device set, and then performing device binding operation on the plurality of gateways and the at least one collecting device set comprises:
performing gateway quantity counting operation on the plurality of gateways to output the quantity of the target gateway;
and classifying the plurality of acquisition devices according to the number of the target gateways and the device correlation coefficient between every two acquisition devices to form a plurality of acquisition device sets of the number of the target gateways, and then performing device binding operation on the plurality of gateways and the plurality of acquisition device sets of the number of the target gateways so that the gateways correspond to the acquisition device sets one by one.
The step of classifying the plurality of collection devices according to the number of the target gateways and the device correlation coefficient between every two collection devices to form a collection set of the number of the target gateways, and then performing device binding operation on the plurality of gateways and the collection set of the number of the target gateways so that the gateways and the collection sets correspond one to one includes:
screening a plurality of acquisition devices with the number of the target gateways from the plurality of acquisition devices to form a plurality of first acquisition devices with the corresponding number;
for each first acquisition device in the plurality of first acquisition devices, performing set creation operation on the first acquisition device to form an acquisition device set corresponding to the first acquisition device, and then placing the first acquisition device into the acquisition device set corresponding to the first acquisition device to form the acquisition device sets with the number of the target gateways;
for each other acquisition device except the first acquisition device in the plurality of acquisition devices, screening out one first acquisition device with the maximum device correlation coefficient between the first acquisition device and the other acquisition device from the plurality of first acquisition devices to form the relevant first acquisition device corresponding to the other acquisition device, and then putting the other acquisition device into the acquisition device set corresponding to the relevant first acquisition device corresponding to the other acquisition device;
performing equipment binding operation on the plurality of gateways and the collection equipment sets with the number of the target gateways so that the gateways correspond to the collection equipment sets one by one;
wherein the step of screening the number of the target gateways from the plurality of the harvesting devices to form a corresponding number of a plurality of first harvesting devices comprises:
a1, for each acquisition device in the plurality of acquisition devices, performing mean value calculation operation on device correlation coefficients between the acquisition device and each other acquisition device except the acquisition device to form a device correlation coefficient mean value corresponding to the acquisition device, and marking two acquisition devices corresponding to the device correlation coefficient mean value with the maximum value and the device correlation coefficient mean value with the minimum value in the plurality of acquisition devices as two first acquisition devices;
a2, for each other acquisition device except the first acquisition device in the plurality of acquisition devices, vectorizing the other acquisition device according to two device correlation coefficients between the other acquisition device and the two first acquisition devices to form a target correlation two-dimensional vector corresponding to the other acquisition device;
a3, forming a plurality of two-dimensional coordinate points in a two-dimensional space according to the target correlation two-dimensional vectors corresponding to each other acquisition device except the first acquisition device in the plurality of acquisition devices;
a4, calculating the number of target devices according to the number of the target gateways, wherein the difference value between the number of the target gateways and the number of the target devices is equal to 2;
a5, sequentially traversing the plurality of two-dimensional coordinate points according to any sequence, stopping traversing until the number of the currently traversed two-dimensional coordinate points is equal to the number of the target devices, and constructing the currently traversed two-dimensional coordinate points to form a coordinate point set;
and A7, after the step A5 is executed for multiple times to form multiple coordinate point sets, performing target path length calculation operation on each coordinate point set in the multiple coordinate point sets to form a target path length corresponding to the coordinate point set, and performing device marking operation on other acquisition devices corresponding to each two-dimensional coordinate point included in the coordinate point set corresponding to the target path length with the maximum value to mark the acquisition devices as first acquisition devices, wherein the target path length is used for reflecting the shortest path for traversing each two-dimensional coordinate point included in the corresponding coordinate point set, and the two-dimensional coordinate points included in the coordinate point set formed by executing the step A5 every two times are at least partially different.
2. The networking method of photovoltaic panel data acquisition equipment according to claim 1, wherein for each of the plurality of acquisition equipment to be networked, the step of performing an equipment feature extraction operation on the acquisition equipment according to each of a plurality of target feature dimensions included in the feature dimension set to form an equipment feature set corresponding to the acquisition equipment comprises:
for each acquisition device in a plurality of acquisition devices to be networked, according to a device position dimension in a plurality of target feature dimensions included in the feature dimension set, performing device position determination operation on the acquisition device to form device position feature information corresponding to the acquisition device;
for each acquisition device in a plurality of acquisition devices to be networked, performing device performance determination operation on the acquisition device according to a device performance dimension in a plurality of target feature dimensions included in the feature dimension set to form device performance feature information corresponding to the acquisition device;
for each acquisition device in a plurality of acquisition devices to be networked, performing device performance determination operation on a photovoltaic group string corresponding to the acquisition device according to a photovoltaic panel performance dimension in a plurality of target characteristic dimensions included in the characteristic dimension set to form photovoltaic panel performance characteristic information corresponding to the acquisition device, and then forming a corresponding device characteristic set according to the photovoltaic panel performance characteristic information, device position characteristic information corresponding to the acquisition device and device performance characteristic information corresponding to the acquisition device.
3. The networking method of photovoltaic panel data acquisition devices according to claim 1, wherein the step of performing device correlation calculation operation on each two acquisition devices of the plurality of acquisition devices according to the device characteristic information corresponding to the two acquisition devices to form a device correlation coefficient between the two acquisition devices comprises:
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on a plurality of device feature information corresponding to a plurality of target feature dimensions corresponding to the two acquisition devices to output a plurality of feature similarities between the two acquisition devices;
and for every two acquisition devices in the plurality of acquisition devices, carrying out similarity fusion operation on a plurality of feature similarities between the two acquisition devices so as to carry out device correlation calculation operation on the two acquisition devices, and outputting a device correlation coefficient between the two acquisition devices.
4. The networking method of photovoltaic panel data acquisition devices according to claim 3, wherein the step of performing, for each two acquisition devices of the plurality of acquisition devices, a feature similarity calculation operation on a plurality of device feature information corresponding to a plurality of target feature dimensions corresponding to the two acquisition devices, respectively, to output a plurality of feature similarities between the two acquisition devices comprises:
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on the device position feature information corresponding to the two acquisition devices to output position feature similarity between the two acquisition devices, wherein the position feature similarity and the distance between the device positions represented by the device position feature information have a negative correlation corresponding relationship;
for each two acquisition devices in the plurality of acquisition devices, respectively performing feature similarity calculation operation on device performance feature information corresponding to the two acquisition devices to output performance feature similarity between the two acquisition devices, wherein the performance feature similarity and the difference between the device performances represented by the device performance feature information have a negative correlation corresponding relationship;
and for every two acquisition devices in the plurality of acquisition devices, respectively carrying out characteristic similarity calculation operation on the photovoltaic panel performance characteristic information corresponding to the two acquisition devices so as to output the photovoltaic panel performance characteristic similarity between the two acquisition devices, wherein the photovoltaic panel performance characteristic similarity and the difference between the photovoltaic panel performances represented by the photovoltaic panel performance characteristic information have a negative correlation corresponding relation.
5. The networking method of photovoltaic panel data acquisition devices according to claim 3, wherein the step of performing a similarity fusion operation on the feature similarities between two acquisition devices of the plurality of acquisition devices for each two acquisition devices to perform a device correlation calculation operation on the two acquisition devices and output a device correlation coefficient between the two acquisition devices comprises:
acquiring a weighting coefficient generated in advance in response to configuration operation of a corresponding management user aiming at each feature similarity in the plurality of feature similarities;
and for every two acquisition devices in the plurality of acquisition devices, carrying out similarity weighted summation calculation operation on the plurality of feature similarities between the two acquisition devices according to the weighting coefficient corresponding to each feature similarity so as to carry out device correlation calculation operation on the two acquisition devices and output a device correlation coefficient between the two acquisition devices.
6. The utility model provides a networking system of photovoltaic board data acquisition equipment which characterized in that is applied to photovoltaic data processing server, photovoltaic data processing server communication connection has a plurality of gateways, networking system of photovoltaic board data acquisition equipment includes:
the device feature extraction module is used for carrying out device feature extraction operation on each acquisition device in a plurality of acquisition devices to be networked so as to form device feature information corresponding to the acquisition device, and each acquisition device is used for carrying out photovoltaic data acquisition on a corresponding photovoltaic group string;
the device correlation calculation module is used for performing device correlation calculation operation on each two acquisition devices in the plurality of acquisition devices according to the device characteristic information corresponding to the two acquisition devices so as to form a device correlation coefficient between the two acquisition devices;
the device gateway binding module is used for classifying the plurality of acquisition devices according to device correlation coefficients between the plurality of gateways and each two acquisition devices to form at least one acquisition device set, and then performing device binding operation on the plurality of gateways and the at least one acquisition device set, so that each acquisition device obtains a corresponding IP address according to IP address allocation operation performed by the bound gateway, and the gateways bound by each two acquisition devices in the same acquisition device set are the same;
wherein the device gateway binding module is specifically configured to:
performing gateway quantity counting operation on the plurality of gateways to output the quantity of the target gateway;
and classifying the plurality of acquisition devices according to the number of the target gateways and the device correlation coefficient between every two acquisition devices to form a plurality of acquisition device sets of the number of the target gateways, and then performing device binding operation on the plurality of gateways and the plurality of acquisition device sets of the number of the target gateways so that the gateways correspond to the acquisition device sets one by one.
The method includes the steps of classifying the plurality of acquisition devices according to the number of the target gateways and device correlation coefficients between every two acquisition devices to form a plurality of acquisition device sets of the number of the target gateways, and then performing device binding operation on the plurality of gateways and the plurality of acquisition device sets of the number of the target gateways to enable the gateways and the acquisition device sets to correspond one to one, and includes the steps of:
screening a plurality of acquisition devices with the number of the target gateways from the plurality of acquisition devices to form a plurality of first acquisition devices with the corresponding number;
for each first acquisition device in the plurality of first acquisition devices, performing set creation operation on the first acquisition device to form an acquisition device set corresponding to the first acquisition device, and then placing the first acquisition device into the acquisition device set corresponding to the first acquisition device to form the acquisition device sets with the number of the target gateways;
for each other acquisition device except the first acquisition device in the plurality of acquisition devices, screening out one first acquisition device with the maximum device correlation coefficient between the first acquisition device and the other acquisition device from the plurality of first acquisition devices to form the relevant first acquisition device corresponding to the other acquisition device, and then putting the other acquisition device into the acquisition device set corresponding to the relevant first acquisition device corresponding to the other acquisition device;
performing equipment binding operation on the plurality of gateways and the collection equipment sets with the number of the target gateways so that the gateways correspond to the collection equipment sets one by one;
wherein the screening out the number of the acquisition devices of the target gateway from the plurality of acquisition devices to form a corresponding number of a plurality of first acquisition devices comprises:
a1, for each acquisition device in the plurality of acquisition devices, performing mean value calculation operation on device correlation coefficients between the acquisition device and each other acquisition device except the acquisition device to form a device correlation coefficient mean value corresponding to the acquisition device, and marking two acquisition devices corresponding to the device correlation coefficient mean value with the maximum value and the device correlation coefficient mean value with the minimum value in the plurality of acquisition devices as two first acquisition devices;
a2, for each other acquisition device except the first acquisition device in the plurality of acquisition devices, vectorizing the other acquisition device according to two device correlation coefficients between the other acquisition device and the two first acquisition devices to form a target correlation two-dimensional vector corresponding to the other acquisition device;
a3, forming a plurality of two-dimensional coordinate points in a two-dimensional space according to the target correlation two-dimensional vectors corresponding to each other acquisition device except the first acquisition device in the plurality of acquisition devices;
a4, calculating the number of target devices according to the number of the target gateways, wherein the difference value between the number of the target gateways and the number of the target devices is equal to 2;
a5, sequentially traversing the plurality of two-dimensional coordinate points according to any sequence, stopping traversing until the number of the currently traversed two-dimensional coordinate points is equal to the number of the target devices, and constructing the currently traversed two-dimensional coordinate points to form a coordinate point set;
and A7, after the step A5 is executed for multiple times to form a plurality of coordinate point sets, performing target path length calculation operation on each coordinate point set in the plurality of formed coordinate point sets to form a target path length corresponding to the coordinate point set, and performing equipment marking operation on other acquisition equipment corresponding to each two-dimensional coordinate point included in the coordinate point set corresponding to the target path length with the maximum value to mark the other acquisition equipment as first acquisition equipment, wherein the target path length is used for reflecting the shortest path for traversing each two-dimensional coordinate point included in the corresponding coordinate point set, and the two-dimensional coordinate points included in the coordinate point set formed by executing the step A5 twice are at least partially different.
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