Community photovoltaic production evaluation, installation and elimination full-process coupling processing method and system

Abstract

The invention provides a community photovoltaic production evaluation, installation and elimination full-process coupling processing method and system, and the method comprises the steps: carrying out the comprehensive analysis and evaluation of the building attributes and sunlight resources of a community building, and determining the evaluation data of the community building; performing digital customization of the photovoltaic equipment based on the attribute of the target installation area, wherein the digital customization at least comprises setting of air circulation of an inner cavity of the photovoltaic equipment; constructing a digital model corresponding to the photovoltaic equipment, and displaying the detection of the photovoltaic equipment in real time based on the digital model; and according to an intelligent consumption strategy, power consumption intelligent switching of consumption load and commercial power is realized. According to the technical scheme, the project building area for installing the solar photovoltaic system is developed in sequence, and a large number of practical experience and technical solutions are accumulated. An urban community and solar photovoltaic power generation are taken as research objects, and an urban community photovoltaic system full-flow coupling technology system is constructed from four aspects of production evaluation, installation and elimination, so that the efficiency of the community photovoltaic system is improved.

Description

Technical Field

[0001] This invention relates to data processing technology, and more particularly to a method and system for the coupled processing of the entire process of evaluation, production, installation and consumption of community photovoltaic systems. Background Technology

[0002] With the continuous improvement of solar power generation efficiency and the sustained decline in power generation costs, solar photovoltaic (PV) has become a major source of green electricity. In 2021, the newly installed capacity of distributed PV in China reached 29.28 GW, surpassing the newly installed capacity of PV power plants for the first time, accounting for 53% of all new installations and demonstrating even faster development potential. Urban communities, as the main carriers of urban space, include not only residential buildings, but also office and commercial buildings, as well as public spaces and structures such as parks, greenways, pergolas, and carports. Compared with individual buildings, the coupling of urban communities with PV systems has the characteristic of "system optimization." Their composite spaces provide more interfaces for the installation of PV systems, and the diverse electricity demands of the users also provide more collaborative pathways for the consumption of solar power.

[0003] Current urban and rural construction often emphasizes photovoltaic (PV) applications at the individual building level, while systematic, end-to-end management and application technologies for community-wide PV systems are relatively lacking. Furthermore, given the diverse architectural forms, functional layouts, and varied environmental and structural types within communities, the overall coupling technology between solar PV systems and these buildings presents certain challenges. Therefore, constructing a community solar PV system coupling technology system based on end-to-end management is crucial to leveraging the advantages of a holistic approach that surpasses individual components and the system's strength over localized aspects. This will achieve the goal of satisfying both aesthetic and functional requirements while ensuring the efficient operation of the community PV system. Existing technologies cannot achieve the desired coupling effect across the entire process of evaluation, production, installation, and consumption. Summary of the Invention

[0004] This invention provides a method and system for the integrated processing of the entire process of evaluation, production, installation, and consumption of photovoltaic power in communities.

[0005] A first aspect of this invention provides a method for the coupled processing of the entire process of evaluation, production, installation, and consumption of community photovoltaic systems, comprising:

[0006] The evaluation end performs a comprehensive analysis and evaluation of the building attributes and sunlight resources of community buildings, determines the target installation area in the evaluation data of community buildings, and generates evaluation nodes for the coupling path.

[0007] On the production side, production nodes with coupled paths are constructed to digitally customize the production of photovoltaic equipment based on the attributes of the target installation area.

[0008] The installation end constructs installation nodes for the coupling path, determines the digital installation model corresponding to the photovoltaic equipment, and displays the real-time detection of the photovoltaic equipment based on the digital installation model;

[0009] The absorption end constructs absorption nodes along the coupling path, determines the absorption load corresponding to the photovoltaic equipment, and realizes intelligent switching between absorption load and grid power absorption according to the smart absorption strategy.

[0010] In a first aspect of the present invention, in one possible embodiment, the evaluation terminal comprehensively analyzes and evaluates the building attributes and sunlight resources of community buildings, determines the target installation area in the evaluation data of community buildings, and generates evaluation nodes for coupling paths, including:

[0011] The server decomposes the community into multiple regions based on the community buildings.

[0012] The evaluation end obtains the first evaluation index based on the quantitative coefficients of the installation potential, low-carbon efficiency, and feasibility of the configuration in the decomposed area;

[0013] The server performs solar resource analysis on the decomposed region based on a preset model to obtain the second evaluation index.

[0014] If the first evaluation index and the second evaluation index meet the requirements or are both greater than the preset value, then the evaluation data meets the requirements and the corresponding target installation area is obtained, and the evaluation node corresponding to the installation area is generated.

[0015] In a first aspect of the invention, in one possible embodiment, the step of decomposing the community into multiple decomposed regions based on community buildings includes:

[0016] Based on the 3D model of the community building, the community building is divided into multiple first faces. Elements of non-installed equipment in the plane are obtained and removed from the first faces to obtain the second faces, which are then sent to the evaluation end.

[0017] If the evaluation end determines the second face, the decomposed region is obtained; if the evaluation end cancels the second face, it is deleted.

[0018] If the evaluation end configures an interaction for the second side, the third side is obtained as a decomposition region based on the interaction.

[0019] In a first aspect of the invention, in one possible embodiment, the production end constructs production nodes along a coupling path to perform digitally customized production of photovoltaic equipment based on the attributes of the target installation area, including:

[0020] The production side generates production nodes corresponding to each decomposed region;

[0021] The appropriate type of energy equipment and its minimum specifications are determined based on the energy properties of the target installation area;

[0022] Customized information is calculated and processed based on the attributes of the target installation area and the minimum specifications of the photovoltaic equipment, and then digitally customized production is carried out.

[0023] In a first aspect of the present invention, in one possible embodiment, the step of calculating and processing customized information based on the attributes of the target installation area and the minimum specifications of the photovoltaic equipment, and then digitally customizing production, includes:

[0024] Based on the specifications of the decomposed region, the photovoltaic equipment is used to obtain a corresponding first production quantity, and based on the first production quantity, a corresponding second production quantity of auxiliary equipment is obtained.

[0025] If the production end inputs a coordination quantity coefficient, then the updated first production quantity and second production quantity are calculated based on the first production quantity, the second production quantity, and the coordination quantity coefficient.

[0026] In a first aspect of the present invention, in one possible embodiment, the installation end constructs installation nodes for a coupling path, determines a digital installation model corresponding to the photovoltaic equipment, and displays real-time monitoring of the photovoltaic equipment based on the digital installation model, including:

[0027] The installation terminal generates the first model corresponding to the community buildings;

[0028] Select the mounting surface corresponding to the target mounting area in the first model, and create a secondary modeling area on the mounting surface;

[0029] Obtain the energy equipment and auxiliary equipment corresponding to each target installation area and generate the corresponding equipment model and auxiliary equipment model.

[0030] A second model is automatically generated based on the specifications of the equipment model, auxiliary equipment model, and target installation area. The second model is then adjusted and installed by interacting with the installation end.

[0031] In a first aspect of the present invention, in one possible embodiment, the step of automatically generating a second model based on the specifications of the equipment model, auxiliary equipment model, and target installation area, and interacting with the installation end to adjust and perform installation processing on the second model, includes:

[0032] Determine the first positioning point of the target within the target installation area, and arrange the auxiliary equipment models horizontally and vertically in sequence according to the first positioning point. Each auxiliary equipment model has a preset coverage specification.

[0033] After determining that the specifications of the target installation area are within the scope of the specifications of all auxiliary equipment models, a corresponding equipment model is added to each auxiliary equipment model to generate a second model;

[0034] If it is determined that the user has added or deleted a device model or auxiliary device model in the target installation area, the second model will be updated so that the installer can perform the installation based on the second model.

[0035] In a first aspect of the present invention, in one possible embodiment, the absorption end constructs a absorption node of a coupling path, determines the absorption load corresponding to the photovoltaic equipment, and realizes intelligent switching between the absorption load and the mains power absorption according to a smart absorption strategy, including:

[0036] After constructing the absorption node at the absorption end, the second model is retrieved to determine the first energy acquisition device corresponding to each device model, and to add the corresponding second energy acquisition device to the load.

[0037] If it is determined that the power generation of the energy equipment is greater than the load absorption capacity, the power generation of the photovoltaic equipment will be connected to the grid.

[0038] If the power generation value of the energy equipment is determined to be less than or equal to the load absorption value, the power generation of the photovoltaic equipment will be stopped from being connected to the grid.

[0039] In a first aspect of the present invention, in one possible implementation, after the absorption end constructs the absorption node, it retrieves a second model, determines the first energy acquisition device corresponding to each device model, and adds a corresponding second energy acquisition device to the load, including:

[0040] After constructing the absorption node at the absorption end, the second model is retrieved to generate the first energy acquisition device corresponding to each device model;

[0041] Extract the device number of all device models and traverse them sequentially. If the device models meet the grouping conditions, generate a model group and classify the first acquisition device in the model group as a first acquisition device.

[0042] A second aspect of the present invention provides a processing method for combining the method of the first aspect of the present invention, comprising:

[0043] The server traces back the establishment process of all nodes of the first coupling path in history, and obtains the first generation table of each coupling path after adjustment from the initial node.

[0044] The first attribute is obtained by statistically analyzing the attributes of the community corresponding to the table generated by each node;

[0045] The server receives the second attribute of the target community sent by the demo terminal, and compares the second attribute with the first attribute to obtain a similar third attribute.

[0046] Determine the first generated table corresponding to the third attribute, adjust the nodes in the first generated table based on the second and third attributes to obtain the second generated table for display, and generate the second coupling path for display based on the second generated table.

[0047] In a first aspect of the invention, in one possible implementation, the server receives a second attribute of a target community sent by a demo client, and compares the second attribute with the first attribute to obtain a similar third attribute, including:

[0048] Wherein, the first attribute is the first information of multiple community attributes corresponding to the historical first coupling path, and the second attribute is the second information of multiple community attributes of the target community;

[0049] The first information group and the second information group of each first coupling path are compared sequentially to obtain the information similarity. The first attribute corresponding to the highest similarity is extracted as the third attribute.

[0050] In a first aspect of the present invention, in one possible implementation, the second generated table, obtained by adjusting the nodes in the first generated table based on the second and third attributes, includes:

[0051] By backtracking the similarity calculation of the first and third attributes, quantitative difference indicators corresponding to different second and first information are obtained;

[0052] Based on the quantitative difference index, the node groups of the corresponding dimensions in the first generated table are determined and adjusted by adding or reducing them to obtain the first generated table after one adjustment.

[0053] The second generated table is obtained by making secondary adjustments to the accompanying adjustment nodes in the first generated table based on the changed nodes in the first generated table.

[0054] A third aspect of this invention provides a coupled processing system for the entire process of evaluation, installation, and disposal of photovoltaic power generation in communities, comprising:

[0055] The evaluation module is used to enable the evaluation end to comprehensively analyze and evaluate the building attributes and sunlight resources of community buildings, determine the target installation area in the evaluation data of community buildings, and generate evaluation nodes for the coupling path.

[0056] The production module is used to enable the production nodes of the production end to build a coupled path, and to carry out digitally customized production of photovoltaic equipment based on the attributes of the target installation area.

[0057] The installation module is used to enable the installation end to construct installation nodes of the coupling path, determine the digital installation model corresponding to the photovoltaic equipment, and display the detection of the photovoltaic equipment in real time based on the digital installation model;

[0058] The absorption module is used to construct absorption nodes of the coupling path at the absorption end, determine the absorption load corresponding to the photovoltaic equipment, and realize intelligent switching of absorption load and grid power absorption according to the smart absorption strategy.

[0059] The technical solutions of this invention have been applied to projects with a building area of ​​approximately 2.4 million square meters for the installation of solar photovoltaic systems, accumulating a wealth of practical experience and technical solutions. Taking urban communities and solar photovoltaic power generation as the research object, a full-process coupled technical system for urban community photovoltaic systems has been constructed from four aspects: evaluation, production, installation, and consumption, thereby improving the efficiency of community photovoltaic systems. Attached Figure Description

[0060] Figure 1 A flowchart of the whole-process coupled processing method for evaluation, production, installation and disposal of photovoltaic power in communities;

[0061] Figure 2 This is a schematic diagram of the node connections in the coupling path;

[0062] Figure 3 A structural diagram of the integrated processing system for the entire process of evaluation, production, installation, and disposal of photovoltaic power in the community;

[0063] Figure 4 This is a schematic diagram of the hardware structure of an electronic device. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein.

[0066] It should be understood that in the various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0067] It should be understood that in this invention, "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0068] It should be understood that in this invention, "multiple" refers to two or more. "And / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "Contains A, B, and C", "Contains A, B, and C" means that all three A, B, and C are contained; "Contains A, B, or C" means that one of A, B, and C is contained; "Contains A, B, and / or C" means that any one, two, or three of A, B, and C are contained.

[0069] It should be understood that in this invention, "B corresponding to A", "B corresponding to A", "A and B correspond", or "B and A correspond" means that B is associated with A, and B can be determined based on A. Determining B based on A does not mean determining B solely based on A; B can also be determined based on A and / or other information. Matching A and B is defined as a similarity between A and B that is greater than or equal to a preset threshold.

[0070] Depending on the context, "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection."

[0071] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0072] This invention provides a method for the coupled processing of the entire process of evaluation, production, installation, and disposal of photovoltaic power in communities, such as... Figure 1 As shown, it includes:

[0073] The server determines the initial coupling path based on the coupling processing requirements and the corresponding nodes in the evaluation, production, installation, and consumption scenarios, and configures a corresponding input terminal for each node. The technical solution provided by this invention first determines the initial coupling path based on the coupling processing requirements and the corresponding nodes in the evaluation, production, installation, and consumption scenarios. Different application scenarios may have different requirements; for example, some scenarios only require evaluation, production, and installation, while others require production, installation, and consumption. Therefore, this invention first obtains the initial coupling path based on the corresponding nodes in the evaluation, production, installation, and consumption scenarios, and configures a corresponding input terminal for each node.

[0074] The method of change of adjacent nodes corresponding to adjacent input terminals is determined based on the adjacency and attribute relationships of nodes in the coupling path. The input terminals include at least an evaluation terminal, a production terminal, an installation terminal, and a disposal terminal. The technical solution provided by this invention determines the method of change of nodes at adjacent input terminals by combining node adjacency and attribute relationships, and the input terminals are specified as evaluation terminals, production terminals, installation terminals, and disposal terminals. There can be multiple different input terminals, each with different functions.

[0075] The server adjusts the nodes of the coupling path according to the changes in the process data of each input terminal, generating corresponding coupling processing data. The technical solution provided by this invention involves the server adjusting the nodes of the coupling path according to the changes in the process data of each input terminal to obtain a corresponding path. This path can be in a tree structure, such as... Figure 2 As shown.

[0076] In one possible implementation of the technical solution provided by this invention, the server adjusts the nodes of the coupling path according to the change pattern based on the process data of each input terminal, generating corresponding coupling processing data, including:

[0077] The evaluation system comprehensively analyzes and evaluates the building attributes and sunlight resources of community buildings to determine the target installation area in the evaluation data of community buildings, generating multiple multi-level evaluation nodes with coupled paths. The evaluation system is used to comprehensively analyze community buildings to determine whether they are suitable for installation. Correspondingly, this invention generates multiple evaluation nodes corresponding to the target installation area.

[0078] In one possible implementation of the technical solution provided by this invention, the evaluation terminal comprehensively analyzes and evaluates the building attributes and sunlight resources of community buildings, determines the target installation area in the evaluation data of community buildings, and generates evaluation nodes for coupling paths, including:

[0079] The server decomposes the community into multiple regions based on the community buildings. Since a community is relatively large, this invention first decomposes the community buildings into multiple regions. Different regions may have different installation scenarios; for example, certain locations are suitable for installing biogas power generation equipment, photovoltaic equipment, wind power equipment, etc.

[0080] In one possible implementation of the technical solution provided by this invention, the step of decomposing the community into multiple decomposed regions based on community buildings includes:

[0081] Based on a three-dimensional view of the community building, the building is divided into multiple first faces. Elements that are not suitable for installing equipment are extracted from the first faces and removed to obtain second faces, which are then sent to the evaluation end. This invention obtains a three-dimensional view of the community building and performs segmentation processing to obtain multiple first faces. Elements that are not suitable for installing equipment can be windows, wells, or other locations unsuitable for energy equipment installation. The resulting second faces are then sent to the evaluation end. These second faces can be vertical or horizontal, such as rooftops, plazas, or the exterior facades of buildings.

[0082] If the evaluation end confirms the second face, the decomposed region is obtained; if the evaluation end cancels the second face, it is deleted. This invention determines the decomposed region after automatically decomposing the corresponding second face. This decomposed region can be an entire second face or a portion of it, set according to the rules for setting the decomposed region. This invention does not restrict the rules for the decomposed region; it can be the entire second face, or it can be a second face that has reached a certain length and width, automatically divided into multiple decomposed regions.

[0083] If the evaluation end configures interaction for the second side, the third side is obtained as a decomposition region based on the interaction. In practical applications, the evaluation end may configure interaction for the second side. In this case, the invention will actively divide the second side to obtain a third side as a decomposition region. For example, the evaluation end may retain a portion of the second side as a decomposition region, or the second side may be divided multiple times to obtain multiple decomposition regions. Each decomposition region corresponds to an evaluation node, that is, each evaluation node evaluates one decomposition region, and multiple evaluation nodes can correspond to one or more evaluation ends.

[0084] The evaluation end obtains a first evaluation index based on the quantitative coefficients of installation potential, low-carbon efficiency, and feasibility of the decomposed area configuration. The technical solution provided by this invention allows the evaluation end to combine these quantitative coefficients to obtain the first evaluation index. This evaluation index can be determined by the evaluators based on actual scenario surveys. For example, a higher first evaluation index corresponds to greater installation potential, better low-carbon performance, and higher real-time feasibility.

[0085] The server analyzes solar resources in the decomposed region based on a preset model to obtain a second evaluation index. In actual installation scenarios, such as solar energy installations, it is necessary to analyze information such as solar radiation levels to obtain a first evaluation index. The longer the solar radiation, the higher the second evaluation index.

[0086] If the first and second evaluation indicators meet the requirements or are both greater than preset values, the evaluation data meets the requirements, resulting in the corresponding target installation area, and an evaluation node corresponding to the target installation area is generated. It should be noted that if the energy method being evaluated is not solar, the second evaluation indicator has no effect. Therefore, if both the first and second evaluation indicators meet the requirements, the corresponding area can be used as the target installation area. In this case, the second evaluation indicator can be any value. However, if the energy method being evaluated is solar, both the first and second evaluation indicators will be considered, and both must be greater than preset values.

[0087] The production end constructs multiple production nodes coupled to each evaluation node, and performs digitally customized production of photovoltaic equipment based on the attributes of the target installation area. After obtaining the corresponding evaluation node, this invention generates a production node corresponding to the evaluation node. The areas corresponding to the existing evaluation nodes are all areas that can be installed after evaluation. Therefore, this invention generates a production node corresponding to the evaluation node and then proceeds with the production steps. This invention performs digitally customized production of photovoltaic equipment based on the attributes of the target installation area.

[0088] In one possible implementation of the technical solution provided by this invention, the production end constructs production nodes along a coupling path to perform digitally customized production of photovoltaic equipment based on the attributes of the target installation area, including:

[0089] The production side generates production nodes corresponding to each target installation area;

[0090] The appropriate type of energy equipment and its minimum specifications are determined based on the energy attributes of the target installation area. It should be noted that this invention determines the energy equipment and minimum specifications for each target installation area according to its energy attributes. For example, photovoltaic panels, wind turbines, etc., have corresponding minimum specifications; for example, photovoltaic panels are specified in square meters, and wind turbines in units.

[0091] This invention establishes primary production nodes corresponding to each energy attribute, obtains the energy specifications of the target installation area corresponding to each energy attribute, and determines secondary production nodes corresponding to the primary production nodes based on the energy specifications. The invention establishes primary production nodes corresponding to different energy attributes. Primary production nodes can be viewed as points divided according to different energy sources. For example, if a target installation area can install photovoltaic equipment, wind power equipment, and biomass power equipment, then there are three primary production nodes. The invention also obtains secondary production nodes corresponding to each primary production node.

[0092] Based on the attributes of secondary production nodes and the minimum specifications of energy equipment, customized information is obtained and digital customized production is performed. Different secondary production nodes will have corresponding energy attributes. In this case, the present invention will combine the minimum specifications of energy equipment to obtain customized information and perform digital customized production.

[0093] In one possible implementation of the technical solution provided by this invention, the step of calculating and processing customized information based on the attributes of secondary production nodes and the minimum specifications of energy equipment to obtain customized production digitally includes:

[0094] Based on the specifications of the area corresponding to the secondary production node and the energy equipment, a first production quantity is obtained, and based on the first production quantity, a second production quantity of corresponding auxiliary equipment is obtained. For example, the specifications of the area corresponding to the secondary production node can be an area. The area that each energy equipment needs to cover is different. This invention can calculate the corresponding quantity. Different energy equipment will have different auxiliary equipment, which can be the mounting bracket of the energy equipment, etc.

[0095] If the production end inputs a coordination quantity coefficient, then the updated first and second production quantities are calculated based on the first production quantity, the second production quantity, and the coordination quantity coefficient. In practical applications, after obtaining the initial calculated quantities, some redundant calculations are performed. That is, this invention calculates based on the first production quantity, the second production quantity, and the coordination quantity coefficient, where the coordination quantity coefficient can be 1.1, to obtain the final first and second production quantities.

[0096] The installation end constructs multiple installation nodes coupled to each production node, determines the digital installation model corresponding to the photovoltaic equipment, and displays the real-time detection of the photovoltaic equipment based on the digital installation model. During installation, the invention generates corresponding installation nodes, which can correspond to production nodes. Each production node is connected to at least one installation node. The invention determines the digital installation model corresponding to the photovoltaic equipment and displays the real-time detection of the photovoltaic equipment based on the digital installation model.

[0097] In one possible implementation of the technical solution provided by this invention, the installation end constructs installation nodes for a coupling path, determines the digital installation model corresponding to the photovoltaic equipment, and displays the real-time detection of the photovoltaic equipment based on the digital installation model, including:

[0098] The installation client generates a first model corresponding to the community buildings. It should be noted that this first model is used for installation display.

[0099] In the first model, the mounting surface corresponding to the production node is selected, and a secondary modeling region is created on the mounting surface. This invention selects the mounting surface corresponding to the production node and performs secondary modeling to obtain the corresponding secondary modeling region.

[0100] The invention acquires the energy equipment and auxiliary equipment corresponding to each target installation area and generates corresponding equipment models and auxiliary equipment models. It then obtains the energy equipment and auxiliary equipment, determines the corresponding equipment models and auxiliary equipment models, and performs installation interactions through these models.

[0101] Based on the specifications of the equipment model, auxiliary equipment model, and target installation area, a second model is automatically generated. This second model is then adjusted through interaction with the installation team, generating at least one installation node that corresponds to the production node. In practical applications, this invention automatically generates a second model based on the specifications of the equipment model, auxiliary equipment model, and target installation area, determining the position of each equipment model and auxiliary equipment model within the second model. Installation personnel then adjust the second model through interaction with the installation team, generating at least one installation node that corresponds to the production node, enabling subsequent installation processes to be performed based on this node.

[0102] In one possible implementation of the technical solution provided by this invention, the step of automatically generating a second model based on the equipment model, auxiliary equipment model, and the specifications of the target installation area, interacting with the installation end to adjust the second model, and generating at least one installation node corresponding to the production node includes:

[0103] The invention determines the first positioning point of the target within the target installation area, and then arranges the auxiliary equipment models sequentially horizontally and vertically according to the first positioning point. Each auxiliary equipment model has a preset coverage specification. When processing the target installation area, the invention obtains the first positioning point of the target within the target installation area. This first positioning point can be a center point, intersection point, etc. The invention then arranges the auxiliary equipment models sequentially horizontally and vertically according to the first positioning point, with each auxiliary equipment model having a preset coverage specification.

[0104] After determining that the specifications of the target installation area fall within the specification coverage range of all auxiliary equipment models, a corresponding energy equipment model is added to each auxiliary equipment model to generate a second model. At this point, the auxiliary equipment model installation is complete. This invention adds a corresponding energy equipment model to each auxiliary equipment model to generate a second model, thus obtaining the model of the corresponding target installation area during actual installation.

[0105] If it is determined that a user has added or deleted a device model or auxiliary device model, the second model will be updated so that the installer can perform the installation based on the second model.

[0106] The absorption end constructs absorption nodes with coupling paths, each absorption node is connected to at least one installation node, the absorption load corresponding to the photovoltaic equipment is determined, and the absorption load and grid power absorption are intelligently switched according to the smart absorption strategy.

[0107] In one possible implementation of the technical solution provided by this invention, the absorption end constructs a absorption node of the coupling path, determines the absorption load corresponding to the photovoltaic equipment, and realizes intelligent switching between the absorption load and the mains power absorption according to the intelligent absorption strategy, including:

[0108] After constructing the consumption node corresponding to the production node at the consumption end, the second model is retrieved to determine the first energy acquisition device corresponding to each equipment model, and to add the corresponding second energy acquisition device to the load.

[0109] If it is determined that the power generation of the energy equipment exceeds the load absorption capacity, the power generation of the photovoltaic equipment will be connected to the grid, and the connection relationship between the production node and the absorption node will be adjusted simultaneously. During the power absorption process, if local absorption is low and power generation is high, the power generation of the photovoltaic equipment will be connected to the grid, and the connection relationship between the production node and the absorption node will be adjusted simultaneously.

[0110] If the power generation of the energy equipment is determined to be less than or equal to the load absorption capacity, the grid connection of the photovoltaic equipment is stopped, and the connection relationship between the production node and the absorption node is adjusted simultaneously. During the power absorption process, if local absorption is low and power generation is high, the power generation of the photovoltaic equipment is connected to the grid, and the connection relationship between the production node and the absorption node is adjusted simultaneously.

[0111] Through the above methods, the present invention can dynamically adjust the connection relationship between production nodes and consumption nodes, and then process and collect data through a fully coupled link.

[0112] In practical applications, when evaluating the property, equipment, and consumption of community buildings through a coupled path, some communities require a demonstration before bidding. The existing demonstration involves staff calculating and building the coupled path based on the actual situation, which greatly reduces the efficiency of the application scenario of this invention.

[0113] Therefore, the technical solution provided by this invention also provides a processing method for combining all the first coupling paths to enable demonstration during the pre-tendering process, including:

[0114] The server traces back the establishment process of all historical nodes of the first coupling path to obtain a first generated table for each coupling path after adjustments from the initial node. This invention statistically traces back the establishment process of all historical nodes of the first coupling path to obtain a first generated table for each coupling path after adjustments from the initial node. This first generated table has multiple dimensions, each corresponding to different nodes, such as the evaluation node, installation node, etc., mentioned above.

[0115] The invention obtains a first attribute by statistically analyzing the attributes of the community corresponding to each node's generated table. This first attribute can contain multiple pieces of information, such as building height, rooftop area, exterior facade area, temperature and humidity, etc., ensuring that each node's generated table has a corresponding first attribute.

[0116] The server receives the second attribute of the target community sent by the demo client, and compares the second attribute with the first attribute to obtain a similar third attribute. This invention receives the second attribute of the target community sent by the demo client; the type of the second attribute can be the same as the type of the first attribute. This invention compares the second attribute with the first attribute to obtain a similar third attribute. The third attribute can be considered as the first attribute most similar to the second attribute.

[0117] The technical solution provided by this invention includes a server receiving a second attribute of a target community sent by a demo terminal, comparing the second attribute with a first attribute to obtain a similar third attribute, including:

[0118] Wherein, the first attribute is the first information of multiple community attributes corresponding to the historical first coupling path, and the second attribute is the second information of multiple community attributes of the target community. Multiple pieces of first information form a first information group, and multiple pieces of second information form a second information value.

[0119] The invention iterates through the first information group and compares it with the second information group of each first coupling path to obtain information similarity. The first attribute corresponding to the highest similarity is extracted as the third attribute. The invention iterates through the first information group of each first coupling path and compares them sequentially. During the comparison, the difference between the first and second information of different attributes is calculated to obtain the corresponding difference value. This difference value can be positive or negative. The invention records the sign of the difference value and performs absolute value processing to obtain the absolute value of the difference. The invention multiplies the corresponding absolute value of the difference value according to the preset weight of different types of information to obtain the quantified difference value under the corresponding type of information. The invention sums all the quantified difference values ​​and divides them by a preset constant value to obtain the difference value. Then, the difference value is subtracted from 1 to obtain the information similarity. When there are multiple maximum information similarities, all the statistical differences are added together to obtain the sum value, and the third attribute of the information similarity corresponding to the largest sum value is determined.

[0120] The invention determines a first generated table corresponding to the third attribute, adjusts the nodes in the first generated table based on the second and third attributes to obtain a second generated table for display, and then generates a second coupling path for display based on the second generated table. The invention obtains a first generated table corresponding to the third attribute, adjusts the nodes in the first generated table according to the second and third attributes to obtain a second generated table for display, and finally assembles the tables to generate the second coupling path.

[0121] The technical solution provided by this invention, wherein the second generated table is obtained by adjusting the nodes in the first generated table based on the second and third attributes to obtain the displayed second generated table, includes:

[0122] By backtracking the similarity calculation of the first and third attributes, a quantitative difference index corresponding to different second and first information is obtained. This invention performs a backtracking calculation of the similarity calculation of the first and third attributes to obtain the current quantitative difference index and retrieves previously stored positive and negative values.

[0123] Based on the quantitative difference index, the node groups of the corresponding dimensions in the first generated table are adjusted by adding or reducing them to obtain the first generated table after one adjustment. Different types of quantitative difference indices correspond to different nodes in advance. This invention can determine whether the corresponding nodes are increased or decreased based on positive or negative values. For example, if the rooftop area of ​​the community building corresponding to the second attribute is large, then the nodes corresponding to the energy of the photovoltaic equipment in the evaluation and production will all be increased. The amount of increase is determined according to the quantitative difference index value. Different quantitative difference index values ​​have different change ranges. For example, if a node is added or decreased by 1000 square meters corresponding to a unit quantitative difference index, then the unit quantitative difference index may not be 1000.

[0124] Based on the changed nodes in the adjusted first generated table, the accompanying adjustment nodes in the first generated table are adjusted a second time to obtain the second generated table. This invention adjusts the accompanying adjustment nodes in the first generated table a second time based on the changed nodes in the adjusted first generated table. For example, if the installation node is an accompanying node of the production node, then the installation node will also change synchronously after the production node changes.

[0125] Through the above methods, the present invention can automatically and quickly generate the coupling path to be demonstrated this time based on historical information and coupling path, which is easy for customers to view.

[0126] To achieve the integrated processing method for the entire process of assessment, installation, and disposal of community photovoltaic systems provided by this invention, this invention also provides an integrated processing system for the entire process of assessment, installation, and disposal of community photovoltaic systems, such as... Figure 3 As shown, it includes:

[0127] The configuration module enables the server to determine the initial coupling path based on the coupling processing requirements and the corresponding nodes in the evaluation, production, and consumption scenarios, and to configure the corresponding input terminals for each node.

[0128] The determination module is used to determine the change mode of the adjacent nodes corresponding to the adjacent input ends based on the adjacency relationship and attribute relationship of the nodes in the coupling path. The input ends include at least the evaluation end, the production end, the installation end, and the disposal end.

[0129] The adjustment module enables the server to adjust the nodes of the coupling path according to the change method based on the process data of each input terminal, and generate corresponding coupling processing data.

[0130] See Figure 4 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present invention. The electronic device 30 includes: a processor 31, a memory 32, and a computer program; wherein...

[0131] The memory 32 is used to store the computer program, and the memory may also be flash memory. The computer program is, for example, an application program or functional module that implements the above method.

[0132] Processor 31 is configured to execute the computer program stored in the memory to implement the various steps performed by the device in the above method. For details, please refer to the relevant descriptions in the preceding method embodiments.

[0133] Alternatively, the memory 32 can be either standalone or integrated with the processor 31.

[0134] When the memory 32 is a device independent of the processor 31, the device may further include:

[0135] Bus 33 is used to connect the memory 32 and the processor 31.

[0136] The present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, is used to implement the methods provided in the various embodiments described above.

[0137] The readable storage medium can be a computer storage medium or a communication medium. A communication medium includes any medium that facilitates the transfer of computer programs from one location to another. A computer storage medium can be any available medium accessible to a general-purpose or special-purpose computer. For example, a readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application-Specific Integrated Circuit (ASIC). Alternatively, the ASIC can be located in a user equipment. Of course, the processor and the readable storage medium can also exist as discrete components in a communication device. The readable storage medium can be a read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0138] The present invention also provides a program product including executable instructions stored in a readable storage medium. At least one processor of the device can read the executable instructions from the readable storage medium, and the at least one processor executes the executable instructions to cause the device to implement the methods provided in the various embodiments described above.

[0139] In the embodiments of the above-described device, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as execution by a hardware processor, or execution by a combination of hardware and software modules within the processor.

[0140] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for the coupled processing of the entire process of evaluation, production, installation, and consumption of community photovoltaic systems, characterized in that, include: The server determines the corresponding nodes in the evaluation, production, and consumption scenarios based on the coupling processing requirements, obtains the initial coupling path, and configures the corresponding input terminal for each node. The change pattern of adjacent nodes corresponding to adjacent input ends is determined based on the adjacency and attribute relationships of nodes in the coupling path. The input ends include at least the evaluation end, the production end, the installation end, and the disposal end. The server adjusts the nodes of the coupling path according to the changes described in the process data of each input terminal, and generates corresponding coupling processing data.

2. The method according to claim 1, characterized in that, The server adjusts the nodes of the coupling path according to the change method based on the process data of each input terminal, and generates corresponding coupling processing data, including: The evaluation end performs a comprehensive analysis and evaluation of the building attributes and sunlight resources of community buildings, determines the target installation area in the evaluation data of community buildings, and generates multiple multi-level evaluation nodes with coupling paths. On the production side, multiple production nodes are constructed with a coupling path to each evaluation node, and photovoltaic equipment is digitally customized and produced based on the attributes of the target installation area. The installation end constructs multiple installation nodes coupled with each production node, determines the digital installation model corresponding to the photovoltaic equipment, and displays the detection of the photovoltaic equipment in real time based on the digital installation model; The absorption end constructs absorption nodes with coupling paths, each absorption node is connected to at least one installation node, the absorption load corresponding to the photovoltaic equipment is determined, and the absorption load and grid power absorption are intelligently switched according to the smart absorption strategy.

3. The method according to claim 2, characterized in that, The evaluation terminal performs a comprehensive analysis and evaluation of the building attributes and sunlight resources of community buildings, determines the target installation area in the evaluation data of community buildings, and generates evaluation nodes for the coupling path, including: The server decomposes the community into multiple regions based on the community buildings. The evaluation end obtains the first evaluation index based on the quantitative coefficients of the installation potential, low-carbon efficiency, and feasibility of the configuration in the decomposed area; The server performs solar resource analysis on the decomposed region based on a preset model to obtain the second evaluation index. If the first evaluation index and the second evaluation index meet the requirements or are both greater than the preset value, then the evaluation data meets the requirements and the corresponding target installation area is obtained, and the evaluation node corresponding to the target installation area is generated.

4. The method according to claim 3, characterized in that, The process of decomposing the community into multiple regions based on its buildings includes: Based on the 3D model of the community building, the community building is divided into multiple first faces. Elements of non-installed equipment in the plane are obtained and removed from the first faces to obtain the second faces, which are then sent to the evaluation end. If the evaluation end determines the second face, the decomposed region is obtained; if the evaluation end cancels the second face, it is deleted. If the evaluation end configures an interaction for the second side, the third side is obtained as a decomposition region based on the interaction.

5. The method according to claim 2, characterized in that, The production end constructs production nodes along a coupling path, and performs digitally customized production of photovoltaic equipment based on the attributes of the target installation area, including: The production side generates production nodes corresponding to each target installation area; The appropriate type of energy equipment and its minimum specifications are determined based on the energy properties of the target installation area; Establish a primary production node corresponding to each energy attribute, obtain the energy specifications of the target installation area corresponding to each energy attribute, and determine the secondary production node corresponding to the primary production node based on the energy specifications. Based on the attributes of secondary production nodes and the minimum specifications of energy equipment, customized information is obtained and digitally customized production is carried out.

6. The method according to claim 5, characterized in that, The process of calculating and processing customized information based on the attributes of secondary production nodes and the minimum specifications of energy equipment to achieve digital customized production includes: Based on the specifications and energy equipment of the region corresponding to the secondary production node, the corresponding first production quantity is obtained, and based on the first production quantity, the corresponding second production quantity of auxiliary equipment is obtained. If the production end inputs a coordination quantity coefficient, then the updated first production quantity and second production quantity are calculated based on the first production quantity, the second production quantity, and the coordination quantity coefficient.

7. The method according to claim 2, characterized in that, The installation end constructs installation nodes for the coupling path, determines the digital installation model corresponding to the photovoltaic equipment, and displays the real-time monitoring of the photovoltaic equipment based on the digital installation model, including: The installation terminal generates the first model corresponding to the community buildings; Select the mounting surface corresponding to the production node in the first model, and create a secondary modeling area on the mounting surface; Obtain the energy equipment and auxiliary equipment corresponding to each target installation area and generate the corresponding equipment model and auxiliary equipment model; The second model is automatically generated based on the equipment model, auxiliary equipment model, and the specifications of the target installation area. The second model is adjusted by interacting with the installation end to generate at least one installation node and correspond to the production node.

8. The method according to claim 7, characterized in that, The process of automatically generating a second model based on the equipment model, auxiliary equipment model, and target installation area specifications, interacting with the installation end to adjust the second model, and generating at least one installation node corresponding to the production node includes: Determine the first positioning point of the target within the target installation area, and arrange the auxiliary equipment models horizontally and vertically in sequence according to the first positioning point. Each auxiliary equipment model has a preset coverage specification. After determining that the specifications of the target installation area are within the scope of the specifications of all auxiliary equipment models, a corresponding equipment model is added to each auxiliary equipment model to generate a second model; If it is determined that a user has added or deleted a device model or auxiliary device model, the second model will be updated so that the installer can perform the installation based on the second model.

9. A processing method for combining the methods described in any one of claims 1 to 8, characterized in that, include: The server traces back the establishment process of all nodes of the first coupling path in history, and obtains the first generation table of each coupling path after adjustment from the initial node. The first attribute is obtained by statistically analyzing the attributes of the community corresponding to the table generated by each node; The server receives the second attribute of the target community sent by the demo terminal, and compares the second attribute with the first attribute to obtain a similar third attribute. Determine the first generated table corresponding to the third attribute, adjust the nodes in the first generated table based on the second and third attributes to obtain the second generated table for display, and generate the second coupling path for display based on the second generated table.

10. The method according to claim 9, characterized in that, The server receives the second attribute of the target community sent by the demo terminal, compares the second attribute with the first attribute to obtain a similar third attribute. include: Wherein, the first attribute is the first information of multiple community attributes corresponding to the historical first coupling path, and the second attribute is the second information of multiple community attributes of the target community; The first information group and the second information group of each first coupling path are compared sequentially to obtain the information similarity. The first attribute corresponding to the highest similarity is extracted as the third attribute.

11. The method according to claim 10, characterized in that, The second generated table, obtained by adjusting the nodes in the first generated table based on the second and third attributes, includes: By backtracking the similarity calculation of the first and third attributes, quantitative difference indicators corresponding to different second and first information are obtained; Based on the quantitative difference index, the node groups of the corresponding dimensions in the first generated table are determined and adjusted by adding or reducing them to obtain the first generated table after one adjustment. The second generated table is obtained by further adjusting the accompanying adjustment nodes in the first generated table based on the changed nodes in the first generated table.

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