CN-122022929-A - Photovoltaic equipment list data generation control method and system and electronic equipment

CN122022929ACN 122022929 ACN122022929 ACN 122022929ACN-122022929-A

Abstract

The invention provides a photovoltaic equipment list data generation control method, a system and electronic equipment, relating to the field of photovoltaic equipment data processing, the integrated flow of roof parameter collection, installation power evaluation, equipment accurate selection, automatic calculation of material consumption, bill of materials generation and cost estimation is realized, and project propulsion efficiency and data accuracy of the household photovoltaic power station are remarkably improved.

Inventors

CHEN DAYING
LI PENG
LIN BIN
YU HAIYANG
LV BEI
LI TIANLU
JING XIAOHUA
XUE HAO
TAN SHAOYING
SUN XIAOYANG
WANG XIAOHUI
BI XIAOMIN
LIU JIE

Assignees

华能国际工程技术有限公司
中国华能集团清洁能源技术研究院有限公司
中国华能集团香港有限公司

Dates

Publication Date: 20260512
Application Date: 20260313

Claims (10)

1. A photovoltaic device manifest data generation control method, characterized in that the method comprises: constructing an equipment library corresponding to the photovoltaic equipment through the component specification parameters, the inverter specification parameters, the grid-connected box specification parameters, the material specification parameters and the rule parameters corresponding to the photovoltaic equipment; Acquiring roof acquisition data corresponding to the photovoltaic equipment, acquiring the number of components and the power of the components corresponding to the roof acquisition data by using the equipment library, and determining the installed power corresponding to the photovoltaic equipment by the number of the components and the power of the components; Determining a target inverter and a target grid-connected box contained in the photovoltaic equipment, determining equipment power, equipment specification and equipment quantity corresponding to the target inverter and the target grid-connected box by using the equipment library, and determining an equipment type selection result corresponding to the photovoltaic equipment by the equipment power, the equipment specification and the equipment quantity; Calculating the cable consumption, the grounding equipment consumption, the bridge consumption and the slot box consumption corresponding to the photovoltaic equipment by using the equipment library, and determining an auxiliary material consumption result corresponding to the photovoltaic equipment by the cable consumption, the grounding equipment consumption, the bridge consumption and the slot box consumption; And determining a bill of materials corresponding to the photovoltaic equipment based on the equipment type selection result and the auxiliary material consumption result, acquiring manufacturing cost data corresponding to the bill of materials by using the equipment library, and generating bill data corresponding to the photovoltaic equipment through the manufacturing cost data and the bill of materials.
2. The photovoltaic equipment list data generation control method according to claim 1, wherein the step of constructing the equipment library corresponding to the photovoltaic equipment by the component specification parameter, the inverter specification parameter, the grid-connected box specification parameter, the material specification parameter and the rule parameter corresponding to the photovoltaic equipment comprises the steps of: determining a photovoltaic module corresponding to the photovoltaic equipment, determining module specification parameters corresponding to the photovoltaic equipment by utilizing module types, module power, size data, weight data and conversion efficiency corresponding to the photovoltaic module, and constructing a photovoltaic module library corresponding to the photovoltaic equipment by utilizing the module specification parameters; determining an inverter corresponding to the photovoltaic equipment, determining an inverter specification parameter corresponding to the photovoltaic equipment by utilizing an inverter model, an alternating current power value, an input voltage range value, a maximum input current value and a capacity ratio range corresponding to the inverter, and constructing an inverter library corresponding to the photovoltaic equipment by utilizing the inverter specification parameter; Determining a grid-connected box corresponding to the photovoltaic equipment, determining grid-connected box specification parameters corresponding to the photovoltaic equipment by using a grid-connected box model, an adaptive power interval, rated voltage, rated current and overstock setting parameters corresponding to the grid-connected box, and constructing a grid-connected box library corresponding to the photovoltaic equipment by using the grid-connected box specification parameters; Determining one or more auxiliary materials in a cable, a bridge, a groove box and a grounding device corresponding to the photovoltaic equipment, determining material specification parameters corresponding to the photovoltaic equipment by using material model, specification data, unit length weight and unit price data corresponding to the auxiliary materials, and constructing an auxiliary material library corresponding to the photovoltaic equipment by using the material specification parameters; Determining one or more types of rectangular flat roofs, slope roofs and special-shaped roofs corresponding to the photovoltaic equipment, determining rule parameters corresponding to the photovoltaic equipment by using area utilization rate coefficients, installation type parameters, power density, consumption calculation coefficients and consumption proportioning coefficients corresponding to the types of the roofs, and constructing a rule parameter library corresponding to the photovoltaic equipment by using the rule parameters; And constructing a device library corresponding to the photovoltaic device based on the photovoltaic module library, the inverter library, the grid-connected box library, the auxiliary material library and the rule parameter library.
3. The photovoltaic device inventory data generation control method according to claim 2, wherein the step of acquiring the roof collection data corresponding to the photovoltaic device, acquiring the number of components and the component power corresponding to the roof collection data by using the device library, and determining the installed power corresponding to the photovoltaic device by the number of components and the component power comprises: determining a target roof type corresponding to the photovoltaic equipment by using the rule parameter library, acquiring roof acquisition data corresponding to a target roof by the target roof type, and calculating the total roof area corresponding to the target roof according to the roof acquisition data; acquiring a target photovoltaic module corresponding to the roof acquisition data based on the target roof type, and acquiring module power corresponding to the target photovoltaic module through the photovoltaic module library; acquiring an area utilization coefficient and power density corresponding to the type of the target roof through the rule parameter library, calculating an effective installation area corresponding to the target roof by utilizing the area utilization coefficient and the total area of the roof, and calculating an installation target total power corresponding to the target roof based on the effective installation area and the power density; Calculating the component target consumption corresponding to the target photovoltaic component according to the installed target total power and the component power, and determining the actual number of the components corresponding to the target photovoltaic component through the component target consumption; And determining the installed power corresponding to the photovoltaic equipment by using the product result of the actual number of the components and the component power.
4. The photovoltaic equipment list data generation control method according to claim 3, characterized in that the step of determining a target inverter and a target grid-connected box included in the photovoltaic equipment, determining equipment power, equipment specification and equipment number corresponding to the target inverter and the target grid-connected box by using the equipment library, and determining an equipment type selection result corresponding to the photovoltaic equipment by the equipment power, the equipment specification and the equipment number, comprises: determining a target inverter and a target grid-connected box contained in the photovoltaic equipment based on the target roof type; acquiring a capacity ratio and an alternating current power value corresponding to the target inverter through the inverter library, and determining an alternating current side calculated power, an inverter specification and an inverter number corresponding to the target inverter by utilizing the capacity ratio and the alternating current power value; Calculating the equipment matching power corresponding to the target grid-connected box according to the number of the inverters, acquiring an adaptive power interval corresponding to the target grid-connected box through the grid-connected box library, and determining the equipment matching power, the grid-connected box specification and the grid-connected box number corresponding to the target grid-connected box by utilizing the equipment matching power and the adaptive power interval; and determining an inverter type selection result corresponding to the target inverter by using the calculated power of the alternating current side, the specification of the inverter and the number of the inverters, and determining a grid-connected box type selection result corresponding to the target grid-connected box by using the equipment matching power, the specification of the grid-connected box and the number of the grid-connected boxes.
5. The photovoltaic apparatus list data generation control method according to claim 4, wherein the step of acquiring the capacitance ratio and the ac power value corresponding to the target inverter by the inverter library, and determining the ac side calculation power, the inverter specification, and the number of inverters corresponding to the target inverter using the capacitance ratio and the ac power value, comprises: The inverter model corresponding to the target inverter is obtained, and the capacitance ratio and the alternating current power value corresponding to the inverter model are obtained through the inverter library; Determining the calculated power of the alternating current side corresponding to the target inverter by utilizing the ratio result of the installed power to the capacity ratio; determining a minimum deviation value between the calculated power of the alternating current side and the alternating current power value, and determining the inverter specification according to the inverter model corresponding to the minimum deviation value; And determining a deviation power threshold corresponding to the target inverter through the minimum deviation value, and determining the number of inverters by utilizing a ratio result of the calculated power of the alternating current side and the deviation power threshold.
6. The photovoltaic device inventory data generation control method according to claim 5, wherein calculating device matching power corresponding to the target grid-connected box according to the number of inverters, obtaining an adapted power interval corresponding to the target grid-connected box through the grid-connected box library, and determining device matching power, grid-connected box specification and grid-connected box number corresponding to the target grid-connected box by using the device matching power and the adapted power interval, comprising: Determining unit power corresponding to the target inverter according to the model of the inverter, and determining the equipment matching power corresponding to the target grid-connected box by using the product result of the unit power and the number of the inverters; acquiring a minimum adaptive power interval corresponding to the matching power of the equipment, which can be covered by the target grid-connected box, through the grid-connected box library, and determining the grid-connected box specification based on the grid-connected box model corresponding to the minimum adaptive power interval; and obtaining rated voltage and rated current corresponding to the type of the grid-connected boxes through the grid-connected box library, obtaining single-box rated power corresponding to the target grid-connected box through the rated voltage and the rated current, and determining the number of the grid-connected boxes according to the ratio result of the equipment matching power and the single-box rated power.
7. The photovoltaic device inventory data generation control method according to claim 3, wherein the step of calculating a cable usage amount, a ground device usage amount, a bridge usage amount, and a tank box usage amount corresponding to the photovoltaic device using the device library, and determining an auxiliary material usage amount result corresponding to the photovoltaic device by the cable usage amount, the ground device usage amount, the bridge usage amount, and the tank box usage amount includes: acquiring specification parameters corresponding to the target inverter and the target grid-connected box, and determining cable specification data corresponding to the specification parameters through the auxiliary material library; Acquiring the direct current cable length and the alternating current cable length corresponding to the cable specification data under the target roof type through the rule parameter library, and determining the cable consumption corresponding to the photovoltaic equipment by utilizing the direct current cable length and the alternating current cable length; Acquiring a grounding device consumption calculation coefficient corresponding to the photovoltaic equipment under the target roof type through the rule parameter library, calculating a grounding electrode consumption and a down-lead consumption by utilizing the grounding device consumption calculation coefficient and the component target consumption, and determining the grounding equipment consumption corresponding to the photovoltaic equipment based on the grounding electrode consumption and the down-lead consumption; The bridge frame consumption corresponding to the photovoltaic equipment is determined by utilizing the bridge frame consumption proportioning coefficient, and the groove box consumption corresponding to the photovoltaic equipment is determined by utilizing the groove box consumption proportioning coefficient; And determining an auxiliary material consumption result corresponding to the photovoltaic equipment under the target roof type according to the cable consumption, the grounding equipment consumption, the bridge consumption and the slot box consumption.
8. The photovoltaic equipment list data generation control method according to claim 1, characterized in that the step of determining a bill of materials corresponding to the photovoltaic equipment based on the equipment type selection result and the auxiliary material usage result, acquiring cost data corresponding to the bill of materials by using the equipment library, and generating list data corresponding to the photovoltaic equipment by the cost data and the bill of materials, comprises: Determining a bill of materials attribute corresponding to the photovoltaic equipment based on the component specification parameter, the inverter specification parameter, the grid-connected box specification parameter, the material specification parameter and the rule parameter; determining format parameters corresponding to the photovoltaic equipment by using equipment types, equipment names, specification models, use quantity and used units corresponding to the photovoltaic equipment in the bill of materials attribute; acquiring a bill of materials corresponding to the equipment type selection result and the auxiliary material consumption result through the format parameters; Obtaining unit cost and used quantity corresponding to the bill of materials from the equipment library according to the equipment category, determining sub-item cost data corresponding to the photovoltaic equipment according to the product result of the unit cost and the used quantity, and determining cost data corresponding to the bill of materials by using cost summary data of the sub-item cost data; and determining cost detail data corresponding to the photovoltaic equipment through the cost data, and generating list data corresponding to the photovoltaic equipment by utilizing the cost detail data and the bill of materials.
9. A photovoltaic device manifest data generation control system, the system comprising: The equipment library construction module is used for constructing an equipment library corresponding to the photovoltaic equipment through the corresponding component specification parameters, the inverter specification parameters, the grid-connected box specification parameters, the material specification parameters and the rule parameters of the photovoltaic equipment; the installation power determining module is used for acquiring roof acquisition data corresponding to the photovoltaic equipment, acquiring the number of components and the component power corresponding to the roof acquisition data by using the equipment library, and determining the installation power corresponding to the photovoltaic equipment by the number of components and the component power; the equipment type selection determining module is used for determining a target inverter and a target grid-connected box contained in the photovoltaic equipment, determining equipment power, equipment specification and equipment quantity corresponding to the target inverter and the target grid-connected box by utilizing the equipment library, and determining equipment type selection results corresponding to the photovoltaic equipment by the equipment power, the equipment specification and the equipment quantity; The auxiliary material usage determining module is used for calculating the cable usage, the grounding equipment usage, the bridge usage and the slot box usage corresponding to the photovoltaic equipment by using the equipment library, and determining an auxiliary material usage result corresponding to the photovoltaic equipment by the cable usage, the grounding equipment usage, the bridge usage and the slot box usage; And the list data generation module is used for determining a bill of materials corresponding to the photovoltaic equipment based on the equipment type selection result and the auxiliary material consumption result, acquiring manufacturing cost data corresponding to the bill of materials by using the equipment library, and generating list data corresponding to the photovoltaic equipment through the manufacturing cost data and the bill of materials.
10. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor to perform the steps of the photovoltaic device manifest data generation control method of any of claims 1-8.

Description

Photovoltaic equipment list data generation control method and system and electronic equipment Technical Field The invention relates to the field of photovoltaic equipment data processing, in particular to a photovoltaic equipment list data generation control method, a system and electronic equipment. Background The household photovoltaic power station has become an important development direction of the distributed photovoltaic industry due to the advantages of low investment threshold, stable power generation gain, remarkable environmental protection benefit and the like. In the context of rapid expansion of the consumer photovoltaic market, how to increase the project propulsion efficiency of consumer photovoltaic power plants is critical to the enterprise. Currently, links such as stepping investigation evaluation, equipment selection, bill of materials compilation, cost estimation and the like of a household photovoltaic power station still adopt a traditional manual operation mode, and project signing efficiency and stock accuracy are severely restricted. The following technical problems exist in the specific implementation process: the method has the advantages of low evaluation efficiency, large difference of assembly installation utilization rates of different roof shapes, and large deviation of installation power evaluation caused by lack of standardized utilization rate coefficient references, and is characterized in that various types of user roofs (such as rectangular flat roofs, slope roofs, special-shaped roofs and the like) are subjected to manual measurement, sketch drawing and manual calculation of the installation area. The equipment type selection matching performance is poor, the specification and the model of core electrical equipment (photovoltaic modules, inverters, grid-connected boxes and the like) of the household photovoltaic power station are various, the traditional type selection depends on project experience of design personnel, the problem of equipment parameter mismatch is easy to occur (such as unreasonable ratio of the total power capacity of the inverter and the total power capacity of the modules, and incompatible specification of the grid-connected boxes and the total power of the inverter), the power generation efficiency is affected, and potential safety hazards are possibly caused. Besides core equipment, the calculation of the consumption of auxiliary materials such as cables, bridges, grounding devices and the like needs to be combined with multiple factors such as roof types, component installation modes, equipment arrangement positions and the like, the traditional mode needs to be manually calculated one by one, the flow is complex and easy to make mistakes, and meanwhile, the bill formats of the materials of different projects are not uniform, so that the follow-up stock and cost calculation are not facilitated. The traditional cost estimation depends on the manual statistics of the material consumption, and combines the market price to calculate one by one, so that the efficiency is low, the total cost estimation distortion is easily caused by material price fluctuation, consumption calculation deviation and the like, and the fairness of contract signing and the accuracy of project income estimation are affected. The portable on-site operation tool is lacking, the existing equipment type selection and bill of materials programming multi-reliance computer-side professional software cannot complete evaluation and programming work in real time on a stepping investigation site, office data are returned after stepping investigation, project signing period is prolonged, professional software is complex to operate, professional requirements on operators are high, and the requirement of large-scale popularization of photovoltaic projects for users is difficult to adapt. The standardization level is low, and the assessment flow of different projects, the equipment model selection rule and the bill of materials format lack of unified standards, so that the consistency among projects is poor, the operation and maintenance difficulty is increased, and the later unified management, upgrading and transformation of a power station are not facilitated. In summary, in the existing on-site model selection and equipment list generation process of the household photovoltaic power station in the early stage of the project, the problems of long time consumption of the stepping investigation and evaluation, poor coordination between the model selection process and the equipment list, complex manual operation and the like exist. Disclosure of Invention In view of the above, the present invention aims to provide a photovoltaic equipment list data generation control method, a system and an electronic device, wherein the method realizes the integrated processes of roof parameter collection, installation power evaluation, equipment accurate selection, automatic calculation of material c